{ "schemaVersion": "deck-intelligence.v1", "id": "019de50f-85ab-7048-9a5e-4426144480f7", "slug": "35978e825fc73d1522650eadcc7eb671", "title": "NVIDIA | Investor Conference Presentation Deck | 22 slides", "subtitle": "NVIDIA · 2020-01", "author": "NVIDIA", "date": "2020-01-01 00:00:00", "pageCount": 22, "kind": "conference-presentation", "orientation": "landscape", "aspectRatio": 1.7777778, "document": { "id": "019de50f-85ab-7048-9a5e-4426144480f7", "slug": "35978e825fc73d1522650eadcc7eb671", "title": "NVIDIA | Investor Conference Presentation Deck | 22 slides", "rawTitle": "NVIDIA | Investor Conference Presentation Deck | 22 slides", "authorId": "nvidia", "authorName": "NVIDIA", "authorDisplay": "NVIDIA", "kind": { "slug": "conference-presentation", "label": "Conference presentation" }, "sourceType": { "slug": "investor_relations", "label": "Investor relations" }, "fileName": "2020-01__nvidia__investor-conf__35978e82.pdf", "sourceUrl": "https://www.slidebook.io/company/nvidia/presentation/35978e825fc73d1522650eadcc7eb671/", "sourceDate": "2020-01-15 00:00:00", "presentationDate": "2020-01-01 00:00:00", "ingestedAt": "2026-05-01 19:41:33.055363+00", "status": "ready", "pageCount": 22, "orientation": "landscape", "aspectRatio": 1.7777778, "targetCompany": null, "targetTicker": null, "metadata": { "corpus": "slidebook", "industry": "semiconductors", "local_root": "/Users/miguelsuredasuau/Desktop/lalalalla/_scrape/slidebook/decks/2020-01__nvidia__investor-conf__35978e82", "image_width": 1920, "image_format": "jpg", "deck_type_raw": "Investor Conference Presentation Deck", "deck_type_slug": null, "source_url_pattern": "https://www.slidebook.io/company/{company_slug}/presentation/{deck_id}/" } }, "coverage": { "pageCount": 22, "pagesIndexed": 22, "pagesWithImages": 22, "pagesWithMetadata": 22, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 117, "chartCount": 4, "metricSlides": 0, "toolMatches": 10, "documentToolMatches": 0, "frameworkMatches": 12, "arcMatches": 1, "beatMatches": 4, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "evidence": "Slides follow a structured pitch format, similar to Sequoia Pitch", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:50:00.037572+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 3, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 1, "name": "Problem", "beatId": "43d7aacb-6b45-430a-b0ac-34e5ddfdbe48", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Introduction to NVIDIA's healthcare initiatives", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 5, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 4, "name": "Market Size", "beatId": "490e9cf6-298e-4a2c-be52-744f4b73c9ce", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "Market sizing and AI breakthroughs in graphics", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 15, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 13, "name": "Solution", "beatId": "16de972f-6466-4526-9148-7ad717c9473d", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "NVIDIA's domain-targeted AI application framework and federated learning solutions", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": null, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": null, "name": "Team", "beatId": "ed9adf3b-2d5c-4a83-8d9c-a8e5c4ca00b2", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "No explicit team slide, but strong emphasis on NVIDIA's expertise", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null, "categoryName": "Vision", "categorySlug": "vision" }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 12, "from": 10, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "4c3f4950-14c2-40fb-bb9d-0d2d25f90d36", "evidence": "Artificial intelligence is domain specific", "position": 1, "objective": "The cost of not adopting AI in healthcare", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:50:00.307297+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "790eab59-deb8-4035-b5fb-caa3066200c7", "evidence": "The slide is labeled as a 'cover' type and contains a title, logo, and image.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 00:58:55.839202+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "548b898c-6dd0-41b7-abf0-be1090bbb37e", "evidence": "The slide is labeled as a 'cover' type and contains a title, logo, and image.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 00:58:55.945495+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "cee43b0b-9bd8-4d2c-b1f1-76ca2793c8ca", "evidence": "World -> Sense -> See, Understand -> Automation", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 00:59:02.293023+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f778aaf0-2434-4c41-b2a5-fd342e5ce7d5", "evidence": "World -> Sense -> See, Understand -> Automation", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 00:59:02.370835+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "64f74726-5d18-4cde-b2b7-8a7cea0e9690", "evidence": "World -> Sense -> See, Understand -> Automation", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 00:59:02.444364+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "a0041a3e-4e2c-4c3d-9692-a83a3fba53a5", "evidence": "NVIDIA PARABRICKS GPU ACCELERATED GENOMICS ANALYSIS TOOLKIT", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 00:59:17.325621+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Value Proposition Canvas", "slug": "value-proposition-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-85a9-713f-8a1c-b6e5af5cc6cd", "version": 1, "bodyDocId": null, "description": "Mapping customer jobs/pains/gains to your value proposition", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "6c2eca7d-1b26-4a0d-8d59-965be81586a6", "evidence": "Equivalent Results to Industry Standard GATK4 | 30-50X Faster Processing from NGS to Variant Calling", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-17 00:59:17.360909+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "AIDA Model", "slug": "aida-model", "status": "active", "bestFor": null, "canonId": "019dd956-86fc-773c-813f-d416714b8413", "version": 1, "bodyDocId": null, "description": "Attention, Interest, Desire, Action - classic persuasion sequence", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2aee0da7-74c8-4f8b-b16d-9c621d7474f0", "evidence": "BREAKTHROUGHS IN COMPUTATIONAL GENOMICS", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-17 00:59:17.430867+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fc0e22d4-6356-42c2-bf0b-a9a85d09dbd9", "evidence": "subtitle: DE NOVO ASSEMBLY GPU Accelerated Mapping, Alignment, Polishing", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 00:59:17.465877+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Canvas framework", "slug": "canvas-framework", "status": "active", "bestFor": null, "canonId": "019dd9e1-5005-762c-82f8-265b08436ca1", "version": 1, "bodyDocId": null, "description": "Named canvas (business model canvas, value prop canvas, etc.).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "04d741e1-4c2e-4a75-97a2-0586eae9a7c1", "evidence": "NVIDIA Clara and Parabricks software stack", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 00:59:17.536198+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null } ], "frameworks": [ { "matchId": "a6c101eb-0010-4dd2-bba6-eed6ae5c90f6", "evidence": "Categorization of total addressable market by industry vertical", "framework": null, "confidence": 0.7, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "market-segmentation-pyramid" }, { "matchId": "d10b176a-8b51-4937-9bbb-497d6dcae151", "evidence": "The diagram illustrates the flow from hardware components to software layers to industry applications and distribution partners.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "frameworkName": "value-chain" }, { "matchId": "d2a06c09-c601-45ee-850a-017fc6a992c4", "evidence": "Reference to 'SUPER MOORE'S LAW' and exponential compute growth", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 10:30:28.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "frameworkName": "Moore's Law" }, { "matchId": "58edefc9-c9a0-4cdc-a60c-1211870b232c", "evidence": "Chronological progression of AI models and capabilities", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "timeline" }, { "matchId": "5397516c-4506-4efb-99bc-62544913e75a", "evidence": "Horizontal chronological progression of technology adoption", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 10:30:28.226+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "timeline" }, { "matchId": "a88f7682-f342-485a-9e73-dc8daf36f4b1", "evidence": "The slide uses a linear flow to explain the AI domain-specific pipeline.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "frameworkName": "process" }, { "matchId": "a667f85f-2d74-45e5-8970-442c5690e5f9", "evidence": "Sequential flow of AI operations from World to Automation", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:27.937+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "frameworkName": "process" }, { "matchId": "b8d925b8-5b31-41a8-bbfd-048b2b551b5a", "evidence": "The slide maps a consistent 4-step process across three different industry domains.", "framework": null, "confidence": 0.85, "extraction": { "at": "2026-05-02 10:30:28.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "frameworkName": "process" }, { "matchId": "013ac8e6-99d5-45bb-a282-9e84a0f6704a", "evidence": "The slide depicts a linear workflow from input to output.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "frameworkName": "process" }, { "matchId": "cd9d0e58-51b5-4b62-9522-5d5137e97547", "evidence": "The slide depicts a progression from foundational models to application components to ecosystem adoption.", "framework": null, "confidence": 0.7, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "frameworkName": "Value Chain" }, { "matchId": "190de7ec-12c3-4a8c-a1f5-42a81b57e495", "evidence": "The slide links cost reduction to throughput increase, leading to a massive projected demand for compute.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:30.91+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "frameworkName": "causal-chain" }, { "matchId": "823af12e-2808-4a4f-b289-77a875d6e29a", "evidence": "Visual representation of software layers (Clara, Parabricks) and hardware compute units.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "frameworkName": "software-stack" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": null, "profile": null }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/5Qw9yuKxvJPjZPgzRHlBo3IO0yRaJMFiOrJhjDppYsU/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNTk3OGU4MjVmYzczZDE1MjI2NTBlYWRjYzdlYjY3MS9wMDAxLmpwZw", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "balanced", "densityScore": 25, "componentCount": 4, "textChars": 129, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:26.576+00", "seconds": 2.188, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/1", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-1", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 1, "w": 0.5, "x": 0.5, "y": 0 }, "kind": "image", "text": "Abstract neural network visualization", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:26.576+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7aebb7c4-1aad-435f-8260-ec89a5bff7ef", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.15, "x": 0.07, "y": 0.34 }, "kind": "image", "text": "NVIDIA logo", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:26.576+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1fa7636b-7313-4911-9fcf-fd72fd74416a", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.4, "x": 0.07, "y": 0.82 }, "kind": "paragraph", "text": "Kimberly Powell | VP & GM Healthcare | JP Morgan Healthcare 2020", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:26.576+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2c6f941b-439a-4840-955b-f3590019b7a4", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.4, "x": 0.07, "y": 0.725 }, "kind": "title", "text": "NVIDIA HEALTHCARE", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:26.576+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cc3c9100-e28e-474b-91ef-15cd7dfd5725", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "790eab59-deb8-4035-b5fb-caa3066200c7", "evidence": "The slide is labeled as a 'cover' type and contains a title, logo, and image.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 00:58:55.839202+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 3, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 1, "name": "Problem", "beatId": "43d7aacb-6b45-430a-b0ac-34e5ddfdbe48", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Introduction to NVIDIA's healthcare initiatives", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/jwfCOWG7upUG9cxdHcSoMvTrAP1KeKGL9rZuPVtK-Wc/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNTk3OGU4MjVmYzczZDE1MjI2NTBlYWRjYzdlYjY3MS9wMDAxLmpwZw", "imagePathAlt": "https://imgproxy.kitesheet.com/ZcqjlvWJ_bAoJ5kBUga8nO4TRB0GQizsOH9M6RwA4qE/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNTk3OGU4MjVmYzczZDE1MjI2NTBlYWRjYzdlYjY3MS9wMDAxLnBuZw", "thumbSrcAlt": "https://imgproxy.kitesheet.com/uxp8_-vZGHqTpZAJc-Cce6gor7iuCgjckxXuyGovNOc/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNTk3OGU4MjVmYzczZDE1MjI2NTBlYWRjYzdlYjY3MS9wMDAxLnBuZw" }, { "page": 2, "type": "setup", "function": "other", "rawType": "disclaimer", "block": null, "metadata": { "slideType": "disclaimer", "slideTypeCanon": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "019de52d-0801-727b-b98a-5ed095aeee78", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "balanced", "densityScore": 41, "componentCount": 2, "textChars": 2246, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:27.874+00", "seconds": 3.482, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/2", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-2", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.621, "w": 0.892, "x": 0.054, "y": 0.228 }, "kind": "disclaimer", "text": "Forward-Looking Statements\nExcept for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: our strategies, growth, market opportunities and position; the performance, benefits and impact of our products and technologies; expected artificial intelligence compute growth and impact; the healthcare industry adopting federated learning; expected computational genomics cost, throughput and benefits; and other predictions and estimates are forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements and any other forward-looking statements that go beyond historical facts that are made in this presentation are subject to risks and uncertainties that may cause actual results to differ materially. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences and demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems and other factors. For a complete discussion of factors that could materially affect our financial results and operations, please refer to the reports we file from time to time with the SEC, including our Form 10-K for the annual period ended January 27, 2019 and our Form 10-Q for the quarterly period ended October 27, 2019. Copies of reports we file with the SEC are posted on our website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of January 16, 2020, based on information currently available to us. Except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.874+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "161813ba-9fad-4f93-bf69-03434623804d", "parentComponentId": null }, { "bbox": { "h": 0.055, "w": 0.198, "x": 0.401, "y": 0.115 }, "kind": "title", "text": "SAFE HARBOR", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.874+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e50301f1-6567-4abe-955d-07f77a46d656", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 3, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 1, "name": "Problem", "beatId": "43d7aacb-6b45-430a-b0ac-34e5ddfdbe48", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Introduction to NVIDIA's healthcare initiatives", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 3, "type": "setup", "title": "The slide uses a visual metaphor of a chip and a triangular cluster of images to represent the three pillars.", "function": "frame_situation", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "frame_situation", "functionCanon": { "name": "Frame situation", "slug": "frame_situation", "status": "active", "canonId": "019de52d-17bc-718f-8752-05ef2b72d7b3", "version": 1, "description": null }, "density": "balanced", "densityScore": 26, "componentCount": 4, "textChars": 146, "nDataPoints": 0, "notes": "The slide uses a visual metaphor of a chip and a triangular cluster of images to represent the three pillars.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.062+00", "seconds": 3.412, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/3", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-3", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.45, "w": 0.35, "x": 0.46, "y": 0.3 }, "kind": "image", "text": "Triangular cluster of images representing Graphics, HPC, and AI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.062+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0dd61e76-e86c-4b70-a376-979c23496b17", "parentComponentId": null }, { "bbox": { "h": 0.26, "w": 0.25, "x": 0.19, "y": 0.67 }, "kind": "image", "text": "NVIDIA chip image", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.062+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "32c48b92-9ded-4a2a-b5a9-0e4f44d6cfa7", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.24, "x": 0.195, "y": 0.9 }, "kind": "paragraph", "text": "GRAPHICS | HPC | AI", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.062+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39e39433-5311-4c6c-9e39-8977d6ce4ef0", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.66, "x": 0.17, "y": 0.1 }, "kind": "title", "text": "NVIDIA AT THE INTERSECTION OF GRAPHICS, HPC, AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.062+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7eafcf9d-b9d2-4470-a2f8-5801038c6fa7", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "548b898c-6dd0-41b7-abf0-be1090bbb37e", "evidence": "The slide is labeled as a 'cover' type and contains a title, logo, and image.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 00:58:55.945495+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 3, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 1, "name": "Problem", "beatId": "43d7aacb-6b45-430a-b0ac-34e5ddfdbe48", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Introduction to NVIDIA's healthcare initiatives", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "resolution", "title": "The slide uses a hub-and-spoke visual metaphor where the central architecture (the chip) powers diverse industries.", "function": "size_opportunity", "rawType": "market_sizing", "block": null, "metadata": { "slideType": "market_sizing", "slideTypeCanon": { "name": "Market sizing", "slug": "market_sizing", "status": "active", "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "dense", "densityScore": 58, "componentCount": 8, "textChars": 126, "nDataPoints": 5, "notes": "The slide uses a hub-and-spoke visual metaphor where the central architecture (the chip) powers diverse industries.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.154+00", "seconds": 3.344, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/4", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-4", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.37, "w": 0.16, "x": 0.23, "y": 0.288 }, "kind": "image", "text": "Cloud Computing", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "305ca1be-0b49-4c80-9f43-5fad27c976d4", "parentComponentId": null }, { "bbox": { "h": 0.37, "w": 0.16, "x": 0.6, "y": 0.288 }, "kind": "image", "text": "Manufacturing", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3cb6edc0-57a2-4d40-b47c-c2f7b288da41", "parentComponentId": null }, { "bbox": { "h": 0.37, "w": 0.16, "x": 0.41, "y": 0.288 }, "kind": "image", "text": "Automotive", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "98332526-67a0-4e5f-bfdc-e5a0de38b7b4", "parentComponentId": null }, { "bbox": { "h": 0.22, "w": 0.15, "x": 0.19, "y": 0.675 }, "kind": "image", "text": "NVIDIA Chip", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9ba6f150-0cab-465b-83af-f335b366ed1b", "parentComponentId": null }, { "bbox": { "h": 0.37, "w": 0.16, "x": 0.78, "y": 0.288 }, "kind": "image", "text": "Healthcare", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d40786e3-9615-4cb3-bca0-776da022b29d", "parentComponentId": null }, { "bbox": { "h": 0.37, "w": 0.16, "x": 0.04, "y": 0.288 }, "kind": "image", "text": "Gaming", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f71c86f4-90e1-4964-9d2d-7cffdd6084cd", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.15, "x": 0.19, "y": 0.9 }, "kind": "paragraph", "text": "GRAPHICS | HPC | AI", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f8fe6ed0-1f85-4fb4-8165-124d819d78eb", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.62, "x": 0.19, "y": 0.06 }, "kind": "title", "text": "NVIDIA ONE ARCHITECTURE — MULTIPLE DOMAINS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "49af3920-bca9-4333-9290-e5f12a3b499a", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "a6c101eb-0010-4dd2-bba6-eed6ae5c90f6", "evidence": "Categorization of total addressable market by industry vertical", "framework": null, "confidence": 0.7, "extraction": { "at": "2026-05-02 10:30:28.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "market-segmentation-pyramid" } ], "arcBeats": [ { "to": 5, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 4, "name": "Market Size", "beatId": "490e9cf6-298e-4a2c-be52-744f4b73c9ce", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "Market sizing and AI breakthroughs in graphics", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "appendix", "function": "illustrate_case", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 67, "componentCount": 9, "textChars": 324, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:27.794+00", "seconds": 2.878, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/5", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-5", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.181, "w": 0.322, "x": 0.307, "y": 0.553 }, "kind": "image", "text": "Omniverse", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2c943766-463c-4c2c-bfc0-ac18e9c9b506", "parentComponentId": null }, { "bbox": { "h": 0.181, "w": 0.322, "x": 0.634, "y": 0.553 }, "kind": "image", "text": "NASA Mars Lander", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7059efd1-5865-4de4-909c-996f95aae4c3", "parentComponentId": null }, { "bbox": { "h": 0.181, "w": 0.322, "x": 0.634, "y": 0.13 }, "kind": "image", "text": "Minecraft RTX", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7c975703-b797-44d6-84b3-afe58cc4292f", "parentComponentId": null }, { "bbox": { "h": 0.181, "w": 0.322, "x": 0.307, "y": 0.13 }, "kind": "image", "text": "Project Sol", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d0f73ae2-418d-4cd4-8fb0-ee19f86f4329", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.322, "x": 0.634, "y": 0.315 }, "kind": "paragraph", "text": "MINECRAFT RTX: Real-time Ray Tracing in the World's Most Popular Game", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "756e2d66-a85a-47d6-bb7a-49636b40acc3", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.322, "x": 0.307, "y": 0.738 }, "kind": "paragraph", "text": "OMNIVERSE: A Powerful Collaboration Platform for 3D Design", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "797c7179-f569-4288-96a8-3064c719ed43", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.322, "x": 0.307, "y": 0.315 }, "kind": "paragraph", "text": "PROJECT SOL: A Showcase for the Power of NVIDIA RTX", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "86aeeb5b-206c-47f9-bd24-f23545252ab9", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.322, "x": 0.634, "y": 0.738 }, "kind": "paragraph", "text": "NASA MARS LANDER: Visualizing NASA's Supercomputer Simulations", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "da7b0b38-c4e4-4795-9ffe-0cde0209c040", "parentComponentId": null }, { "bbox": { "h": 0.128, "w": 0.258, "x": 0.05, "y": 0.388 }, "kind": "title", "text": "NVIDIA AI BREAKTHROUGHS IN GRAPHICS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "60d0e7ee-f1c8-45eb-a581-4ac3e53d41a6", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 5, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 4, "name": "Market Size", "beatId": "490e9cf6-298e-4a2c-be52-744f4b73c9ce", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "Market sizing and AI breakthroughs in graphics", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 6, "type": "appendix", "title": "The slide uses a layered architecture diagram to represent the full-stack nature of the platform.", "function": "present_framework", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "balanced", "densityScore": 43, "componentCount": 6, "textChars": 119, "nDataPoints": 0, "notes": "The slide uses a layered architecture diagram to represent the full-stack nature of the platform.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:27.604+00", "seconds": 2.688, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/6", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-6", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.45, "w": 0.8, "x": 0.1, "y": 0.35 }, "kind": "diagram", "text": "Full stack architecture diagram", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cec77be7-8660-4161-933b-830bbba7ac9b", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.3, "y": 0.75 }, "kind": "paragraph", "text": "FULL STACK", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3a1be5d2-26a9-427b-9498-98bbd4e9767a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.55, "y": 0.75 }, "kind": "paragraph", "text": "CLOUD TO EDGE SYSTEMS", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6f29da85-46a1-466d-9f0c-833c34c45f5f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.8, "y": 0.75 }, "kind": "paragraph", "text": "EVERYWHERE", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b79a924b-0718-4083-a139-fe743ec7f23a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.05, "y": 0.75 }, "kind": "paragraph", "text": "X-FACTOR / SPEED-UP", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea9b88ff-b126-4667-a266-e95a3f153637", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.1 }, "kind": "title", "text": "NVIDIA AI COMPUTING PLATFORM", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "945399d7-c2bc-484f-9286-71f1ba4f0ce9", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "d10b176a-8b51-4937-9bbb-497d6dcae151", "evidence": "The diagram illustrates the flow from hardware components to software layers to industry applications and distribution partners.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "frameworkName": "value-chain" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 7, "type": "resolution", "title": "The slide uses a dual-chart layout to demonstrate both the industry trend (exponential compute growth) and NVIDIA's specific performance improvement (600 hours ", "function": "analyze_data", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 41, "componentCount": 5, "textChars": 151, "nDataPoints": 2, "notes": "The slide uses a dual-chart layout to demonstrate both the industry trend (exponential compute growth) and NVIDIA's specific performance improvement (600 hours to 2 hours).", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.137+00", "seconds": 3.169, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/7", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-7", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.45, "w": 0.45, "x": 0.52, "y": 0.35 }, "kind": "chart", "text": "From 600 to 2 Hours in 5 Years", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3d5691bb-ed8b-4ddc-ad86-bcf4d8a4645e", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.45, "x": 0.05, "y": 0.35 }, "kind": "chart", "text": "AI Compute Growing Exponentially", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "421ed865-4dcf-424c-9642-028e2fbed0ca", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.6, "y": 0.75 }, "kind": "paragraph", "text": "SUPER MOORE'S LAW", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8aad1a54-ec86-48f2-b802-b7343c1fd311", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.1, "y": 0.75 }, "kind": "paragraph", "text": "COMPUTE DOUBLING EVERY 3.4 MONTHS", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f7accc7a-3d55-490d-928b-81eadfab4595", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.25, "y": 0.05 }, "kind": "title", "text": "NVIDIA IS THE ENGINE OF AI #1 ON MLPERF", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b11863bd-e300-49cd-b49e-a8f9a63e38b7", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "d2a06c09-c601-45ee-850a-017fc6a992c4", "evidence": "Reference to 'SUPER MOORE'S LAW' and exponential compute growth", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 10:30:28.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "frameworkName": "Moore's Law" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 8, "type": "setup", "title": "The slide uses a horizontal timeline to contrast visual perception tasks with language understanding tasks.", "function": "establish_context", "rawType": "timeline", "block": null, "metadata": { "slideType": "timeline", "slideTypeCanon": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-0851-75eb-b758-ea2965e7739a", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "dense", "densityScore": 64, "componentCount": 10, "textChars": 254, "nDataPoints": 0, "notes": "The slide uses a horizontal timeline to contrast visual perception tasks with language understanding tasks.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.203+00", "seconds": 3.192, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/8", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-8", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.02, "w": 0.9, "x": 0.05, "y": 0.79 }, "kind": "diagram", "text": "Timeline from 2012 to 2018", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5e5c15b3-5fff-40da-8f48-b3c214e51b40", "parentComponentId": null }, { "bbox": { "h": 0.07, "w": 0.12, "x": 0.07, "y": 0.68 }, "kind": "framework", "text": "ALEXNET CNN", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "21ba6302-6a85-4d08-ba6a-c8039f9b4609", "parentComponentId": null }, { "bbox": { "h": 0.07, "w": 0.12, "x": 0.53, "y": 0.68 }, "kind": "framework", "text": "BERT TRANSFORMER", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5dbbbc92-cb90-4185-a369-a54974615b44", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.25, "x": 0.2, "y": 0.315 }, "kind": "image", "text": "Visual AI tasks (3D Pose, Denoising, Segmentation, Classification, Object Recognition)", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a8de10b3-6806-4ab8-a214-b6d2f76c2d3d", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.235, "x": 0.66, "y": 0.315 }, "kind": "list", "text": "Language AI tasks (Writing, Classification, Summarization, Translation, Q&A)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "576735e5-cd1a-436c-833d-13da15cb5517", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.08, "x": 0.74, "y": 0.82 }, "kind": "paragraph", "text": "\"Understand\"", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "33c6e1cd-10ee-4dc3-be66-f000888a1129", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.04, "x": 0.56, "y": 0.82 }, "kind": "paragraph", "text": "2018", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56fb70d5-1d31-4694-a857-6ee1360bf934", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.04, "x": 0.3, "y": 0.82 }, "kind": "paragraph", "text": "\"See\"", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bc96e2bd-16db-4d88-8f63-cbce50a03bb5", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.04, "x": 0.1, "y": 0.82 }, "kind": "paragraph", "text": "2012", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eb4697d3-9781-4dc2-860e-f1b5da725f38", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.24, "x": 0.38, "y": 0.11 }, "kind": "title", "text": "AI RENAISSANCE", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "477622d4-84ec-4cef-b1e7-75c970e414af", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "58edefc9-c9a0-4cdc-a60c-1211870b232c", "evidence": "Chronological progression of AI models and capabilities", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 10:30:28.203+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "timeline" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 9, "type": "setup", "title": "The slide uses a horizontal timeline to illustrate the shift from general HPC/Graphics applications to specialized AI-driven healthcare solutions.", "function": "present_framework", "rawType": "timeline", "block": null, "metadata": { "slideType": "timeline", "slideTypeCanon": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-0851-75eb-b758-ea2965e7739a", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "sparse", "densityScore": 24, "componentCount": 4, "textChars": 121, "nDataPoints": 0, "notes": "The slide uses a horizontal timeline to illustrate the shift from general HPC/Graphics applications to specialized AI-driven healthcare solutions.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.226+00", "seconds": 3.028, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/9", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-9", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.75 }, "kind": "diagram", "text": "Timeline from 2010 to 2015+", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.226+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ab2c0130-9ae9-469b-b64c-303f76f47102", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.25, "x": 0.65, "y": 0.3 }, "kind": "image", "text": "AI applications (2015+ era)", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.226+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cac73354-df57-4922-b437-c4baeb019924", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.25, "x": 0.2, "y": 0.4 }, "kind": "image", "text": "Graphics & HPC applications (2010 era)", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.226+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cbc7d982-4672-4209-b124-3e2e72235ed3", "parentComponentId": null }, { "bbox": { "h": 0.16, "w": 0.38, "x": 0.31, "y": 0.05 }, "kind": "title", "text": "NVIDIA A DECADE IN HEALTHCARE", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.226+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1bd0b239-1b71-4725-881d-5c2f229691fc", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "5397516c-4506-4efb-99bc-62544913e75a", "evidence": "Horizontal chronological progression of technology adoption", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 10:30:28.226+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "timeline" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 10, "type": "appendix", "title": "The slide uses a process flow to demonstrate the domain-specific nature of AI.", "function": "present_framework", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "balanced", "densityScore": 27, "componentCount": 4, "textChars": 164, "nDataPoints": 0, "notes": "The slide uses a process flow to demonstrate the domain-specific nature of AI.", "elementsJson": null, "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:27.604+00", "seconds": 2.301, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/10", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-10", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.098, "w": 0.616, "x": 0.192, "y": 0.231 }, "kind": "diagram", "text": "World -> Sense -> See, Understand -> Automation", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "65b6de88-4e0b-4e7a-a430-b839727d0ce1", "parentComponentId": null }, { "bbox": { "h": 0.206, "w": 0.728, "x": 0.08, "y": 0.357 }, "kind": "diagram", "text": "Self-Driving -> [Images] -> AI Program/Computer -> [Automation Image]", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f581bc58-8ac7-422c-a109-2a46bdc3e768", "parentComponentId": null }, { "bbox": { "h": 0.024, "w": 0.042, "x": 0.938, "y": 0.951 }, "kind": "image", "text": "NVIDIA", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aa1be16a-9b02-47c2-b4de-a411956770b5", "parentComponentId": null }, { "bbox": { "h": 0.064, "w": 0.664, "x": 0.168, "y": 0.114 }, "kind": "title", "text": "ARTIFICIAL INTELLIGENCE IS DOMAIN SPECIFIC", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3530a3aa-245f-4dba-9340-851c7804d150", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "cee43b0b-9bd8-4d2c-b1f1-76ca2793c8ca", "evidence": "World -> Sense -> See, Understand -> Automation", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 00:59:02.293023+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "a88f7682-f342-485a-9e73-dc8daf36f4b1", "evidence": "The slide uses a linear flow to explain the AI domain-specific pipeline.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:27.604+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "frameworkName": "process" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 12, "from": 10, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4c3f4950-14c2-40fb-bb9d-0d2d25f90d36", "evidence": "Artificial intelligence is domain specific", "position": 1, "objective": "The cost of not adopting AI in healthcare", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:50:00.307297+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 11, "type": "appendix", "title": "The slide uses a process flow framework to demonstrate domain-specific AI applications.", "function": "present_framework", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "sparse", "densityScore": 15, "componentCount": 3, "textChars": 116, "nDataPoints": 0, "notes": "The slide uses a process flow framework to demonstrate domain-specific AI applications.", "elementsJson": null, "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:27.937+00", "seconds": 2.455, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/11", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-11", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.298, "w": 0.607, "x": 0.193, "y": 0.231 }, "kind": "diagram", "text": "World -> Sense -> See, Understand -> Automation", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.937+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1ae00021-5290-44a9-b70f-3671c5e720ff", "parentComponentId": null }, { "bbox": null, "kind": "framework", "text": "Process flow for AI domains", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.937+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c8d08ffa-760e-4a4c-a692-b6cedd109ab8", "parentComponentId": null }, { "bbox": { "h": 0.063, "w": 0.664, "x": 0.168, "y": 0.113 }, "kind": "title", "text": "ARTIFICIAL INTELLIGENCE IS DOMAIN SPECIFIC", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:27.937+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "749432f4-db79-4d3c-9c52-08d61ae294d5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f778aaf0-2434-4c41-b2a5-fd342e5ce7d5", "evidence": "World -> Sense -> See, Understand -> Automation", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 00:59:02.370835+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "a667f85f-2d74-45e5-8970-442c5690e5f9", "evidence": "Sequential flow of AI operations from World to Automation", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:27.937+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "frameworkName": "process" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 12, "from": 10, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4c3f4950-14c2-40fb-bb9d-0d2d25f90d36", "evidence": "Artificial intelligence is domain specific", "position": 1, "objective": "The cost of not adopting AI in healthcare", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:50:00.307297+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 12, "type": "appendix", "title": "The slide uses a process-flow framework to demonstrate domain-specific AI applications.", "function": "present_framework", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "sparse", "densityScore": 15, "componentCount": 3, "textChars": 124, "nDataPoints": 0, "notes": "The slide uses a process-flow framework to demonstrate domain-specific AI applications.", "elementsJson": null, "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.269+00", "seconds": 2.704, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/12", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-12", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.67, "w": 0.607, "x": 0.193, "y": 0.231 }, "kind": "diagram", "text": "World -> Sense -> See, Understand -> Automation", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c54508bb-26ed-4ffe-8d84-a9e4506e853f", "parentComponentId": null }, { "bbox": null, "kind": "framework", "text": "Process flow for domain-specific AI", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5debfe37-e279-44bf-a678-5454ac4805d6", "parentComponentId": null }, { "bbox": { "h": 0.061, "w": 0.664, "x": 0.168, "y": 0.113 }, "kind": "title", "text": "ARTIFICIAL INTELLIGENCE IS DOMAIN SPECIFIC", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c0c08b20-6a25-414a-895b-47296dd8e916", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "64f74726-5d18-4cde-b2b7-8a7cea0e9690", "evidence": "World -> Sense -> See, Understand -> Automation", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 00:59:02.444364+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "b8d925b8-5b31-41a8-bbfd-048b2b551b5a", "evidence": "The slide maps a consistent 4-step process across three different industry domains.", "framework": null, "confidence": 0.85, "extraction": { "at": "2026-05-02 10:30:28.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "frameworkName": "process" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 12, "from": 10, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4c3f4950-14c2-40fb-bb9d-0d2d25f90d36", "evidence": "Artificial intelligence is domain specific", "position": 1, "objective": "The cost of not adopting AI in healthcare", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:50:00.307297+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 13, "type": "setup", "title": "The slide uses a process flow to show the pipeline from data/models to deployment.", "function": "present_solution", "rawType": "propose_solution", "block": null, "metadata": { "slideType": "propose_solution", "slideTypeCanon": { "name": "Propose solution (contrarian)", "slug": "propose_solution", "status": "active", "canonId": "019de52d-1274-703c-81c6-5550f451697b", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "dense", "densityScore": 56, "componentCount": 6, "textChars": 331, "nDataPoints": 0, "notes": "The slide uses a process flow to show the pipeline from data/models to deployment.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:29.635+00", "seconds": 4.054, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/13", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-13", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.225, "w": 0.345, "x": 0.332, "y": 0.335 }, "kind": "diagram", "text": "NVIDIA CLARA AI APPLICATION FRAMEWORK: AIAA (LABEL) -> Transfer Learning Tool (ADAPT) -> NVIDIA TENSORRT (COMPILE)", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0a05135a-ea38-4a41-952d-16d9feafa80b", "parentComponentId": null }, { "bbox": { "h": 0.13, "w": 0.62, "x": 0.19, "y": 0.75 }, "kind": "diagram", "text": "Deployment pipeline: User -> Scanner -> AI Application/Clara Runtime/Hardware -> Result", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9c3b9a75-5f6c-4744-982c-ddee5568f4f4", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.06, "x": 0.22, "y": 0.45 }, "kind": "image", "text": "Your Data brain icon", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a71977f8-273d-4bdf-bb00-aafdabc6e6b7", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.06, "x": 0.22, "y": 0.34 }, "kind": "image", "text": "Pre-trained AI Models icon", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc4ce7b3-e2a0-48f7-9855-a5477caa9802", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.1, "x": 0.12, "y": 0.37 }, "kind": "list", "text": "Pre-trained AI Models\nYour Data", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e719dca6-1d95-4844-af2e-ae75197e8aa5", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.72, "x": 0.14, "y": 0.05 }, "kind": "title", "text": "NVIDIA CLARA DOMAIN TARGETED AI APPLICATION FRAMEWORK", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9a0a28f7-d903-4091-a126-f12bf67e43fd", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "013ac8e6-99d5-45bb-a282-9e84a0f6704a", "evidence": "The slide depicts a linear workflow from input to output.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:29.635+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "frameworkName": "process" } ], "arcBeats": [ { "to": 15, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 13, "name": "Solution", "beatId": "16de972f-6466-4526-9148-7ad717c9473d", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "NVIDIA's domain-targeted AI application framework and federated learning solutions", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 14, "type": "appendix", "title": "The slide uses a 3x4 grid layout to categorize medical device companies.", "function": "establish_context", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "sparse", "densityScore": 7, "componentCount": 2, "textChars": 74, "nDataPoints": 0, "notes": "The slide uses a 3x4 grid layout to categorize medical device companies.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.062+00", "seconds": 2.295, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/14", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-14", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.725, "w": 0.585, "x": 0.358, "y": 0.155 }, "kind": "image", "text": "Grid of 12 company logos and product images", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.062+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cd490d80-d443-446f-875d-adca7e3c72af", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.295, "x": 0.06, "y": 0.39 }, "kind": "title", "text": "SMART MEDICAL DEVICE REVOLUTION", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.062+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c271a6d7-b15f-49e2-b78c-37e75c9c6125", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 15, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 13, "name": "Solution", "beatId": "16de972f-6466-4526-9148-7ad717c9473d", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "NVIDIA's domain-targeted AI application framework and federated learning solutions", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 15, "type": "setup", "title": "The slide depicts a technical workflow involving data labeling, transfer learning, compilation, and federated collaboration.", "function": "present_solution", "rawType": "propose_solution", "block": null, "metadata": { "slideType": "propose_solution", "slideTypeCanon": { "name": "Propose solution (contrarian)", "slug": "propose_solution", "status": "active", "canonId": "019de52d-1274-703c-81c6-5550f451697b", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 30, "componentCount": 4, "textChars": 213, "nDataPoints": 0, "notes": "The slide depicts a technical workflow involving data labeling, transfer learning, compilation, and federated collaboration.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.74+00", "seconds": 2.894, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/15", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-15", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.45, "w": 0.74, "x": 0.13, "y": 0.288 }, "kind": "diagram", "text": "NVIDIA CLARA AI APPLICATION FRAMEWORK workflow", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.74+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "398e912b-1a53-429c-b5fc-28bb2f7717e2", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.84, "x": 0.13, "y": 0.23 }, "kind": "image", "text": "Hospital data input and federated learning network", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.74+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "28b674a0-9ad8-4750-a338-8cdcddbbf841", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.62, "x": 0.19, "y": 0.76 }, "kind": "image", "text": "Clinical application workflow showing doctor, scanner, and output", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.74+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3aecfb2a-2ea9-4519-832d-d106ea07cb53", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.68, "x": 0.16, "y": 0.05 }, "kind": "title", "text": "NVIDIA CLARA FEDERATED LEARNING FOR COLLABORATIVE AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.74+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "210b0c39-7c72-47fb-bc2e-02d1bdb18e18", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 15, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 13, "name": "Solution", "beatId": "16de972f-6466-4526-9148-7ad717c9473d", "matchId": "dc6e130e-5a73-4727-ab6d-bea8deeef7ae", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "NVIDIA's domain-targeted AI application framework and federated learning solutions", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 16, "type": "appendix", "title": "The slide uses a two-column layout to contrast medical imaging partners (left) with the MELLODDY pharma consortium (right).", "function": "establish_context", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "dense", "densityScore": 57, "componentCount": 6, "textChars": 346, "nDataPoints": 0, "notes": "The slide uses a two-column layout to contrast medical imaging partners (left) with the MELLODDY pharma consortium (right).", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:29.183+00", "seconds": 3.168, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/16", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-16", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.4, "x": 0.55, "y": 0.3 }, "kind": "image", "text": "Pharma partners", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.183+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "10eb4fe3-7beb-4da8-9010-d14924bf222d", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.4, "x": 0.05, "y": 0.3 }, "kind": "image", "text": "Medical Imaging partners", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.183+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3a89f521-b7ab-4c72-a022-e87ec91adbee", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.05, "y": 0.75 }, "kind": "paragraph", "text": "MEDICAL IMAGING: Adopting NVIDIA Clara Federated Learning for Imaging", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.183+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e1be4e6d-b86e-42aa-ace9-1cb9c5d90668", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.55, "y": 0.75 }, "kind": "paragraph", "text": "PHARMA: Machine Learning Ledger Orchestration for Drug Discovery", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.183+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e3d5f671-e99a-4808-9bb9-c7f95d8dde54", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.52, "y": 0.65 }, "kind": "source-note", "text": "This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement N° 831472.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.183+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "50055557-5fed-4b9e-975e-e2f544379a61", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.25, "y": 0.05 }, "kind": "title", "text": "HEALTHCARE INDUSTRY ADOPTING FEDERATED LEARNING", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.183+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f00bc1a3-0b87-4a50-977b-dc306702d5c3", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 17, "type": "appendix", "title": "The slide uses a three-column layout to explain the framework's capabilities and market reach.", "function": "present_framework", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "dense", "densityScore": 54, "componentCount": 7, "textChars": 205, "nDataPoints": 0, "notes": "The slide uses a three-column layout to explain the framework's capabilities and market reach.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:28.985+00", "seconds": 2.826, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/17", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-17", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.3, "x": 0.26, "y": 0.3 }, "kind": "diagram", "text": "Domain Targeted AI architecture stack", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a7b34716-9342-444b-a809-0713aa7da0a6", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.2, "x": 0.05, "y": 0.3 }, "kind": "image", "text": "Pre-trained medical imaging models", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3d30442d-6370-4fe1-a6f6-d7d900d0db6b", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.38, "x": 0.57, "y": 0.3 }, "kind": "image", "text": "Ecosystem partners and adoption", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e448a90-9269-4d79-88a6-84e316e45dd5", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.18, "x": 0.67, "y": 0.82 }, "kind": "paragraph", "text": "ECOSYSTEM ADOPTION", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e777d32-5b09-4cf5-a8db-ccf545dd5132", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.16, "x": 0.07, "y": 0.82 }, "kind": "paragraph", "text": "PRE-TRAINED MODELS", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a1856a37-beca-4503-b07b-9dccbba32230", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.16, "x": 0.33, "y": 0.82 }, "kind": "paragraph", "text": "DOMAIN TARGETED AI", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b9287803-54c9-4c95-937f-6329a5038b9a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.62, "x": 0.19, "y": 0.05 }, "kind": "title", "text": "NVIDIA CLARA AI APPLICATION FRAMEWORK FOR IMAGING", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "04a3b525-95bf-464e-8835-a43dbe9c5798", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "cd9d0e58-51b5-4b62-9522-5d5137e97547", "evidence": "The slide depicts a progression from foundational models to application components to ecosystem adoption.", "framework": null, "confidence": 0.7, "extraction": { "at": "2026-05-02 10:30:28.985+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "frameworkName": "Value Chain" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 18, "type": "setup", "title": "The chart illustrates the 'Moore's Law' equivalent for genomics, emphasizing the exponential growth in data volume.", "function": "quantify_opportunity", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "quantify_opportunity", "functionCanon": { "name": "Quantify opportunity", "slug": "quantify_opportunity", "status": "active", "canonId": "019de52d-17e4-726f-aa15-83350acef1dd", "version": 1, "description": null }, "density": "balanced", "densityScore": 37, "componentCount": 4, "textChars": 247, "nDataPoints": 2, "notes": "The chart illustrates the 'Moore's Law' equivalent for genomics, emphasizing the exponential growth in data volume.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:30.91+00", "seconds": 4.248, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/18", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-18", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.15, "x": 0.6, "y": 0.5 }, "kind": "callout", "text": "2x Genomics Data Every 7 Months", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:30.91+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a3cf451-adaa-44f1-9080-cf589eb44a10", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.74, "x": 0.13, "y": 0.25 }, "kind": "chart", "text": "Dual-axis line chart showing cost per genome vs genomes per sequencer over time", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:30.91+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "80b4bd2b-0dd6-4c89-88d9-249a419d6437", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.2, "y": 0.83 }, "kind": "paragraph", "text": "200M WGS by 2025\n2 Trillion CPU Hours for Variant Calling | Consume Entire Cloud CPUs for 200 Days", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:30.91+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "01156b75-fe9b-48d1-a6e7-69234e88a2ff", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.1 }, "kind": "title", "text": "COMPUTATIONAL GENOMICS INFLECTION POINT", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:30.91+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "79de2c55-b718-4ac2-8776-922156ede8e7", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "190de7ec-12c3-4a8c-a1f5-42a81b57e495", "evidence": "The slide links cost reduction to throughput increase, leading to a massive projected demand for compute.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:30.91+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "frameworkName": "causal-chain" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 19, "type": "setup", "title": "The slide highlights the software stack (Parabricks on CUDA-X) and key performance metrics (30-50X faster).", "function": "present_solution", "rawType": "propose_solution", "block": null, "metadata": { "slideType": "propose_solution", "slideTypeCanon": { "name": "Propose solution (contrarian)", "slug": "propose_solution", "status": "active", "canonId": "019de52d-1274-703c-81c6-5550f451697b", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 45, "componentCount": 4, "textChars": 388, "nDataPoints": 2, "notes": "The slide highlights the software stack (Parabricks on CUDA-X) and key performance metrics (30-50X faster).", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:29.004+00", "seconds": 2.342, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/19", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-19", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.48, "x": 0.26, "y": 0.275 }, "kind": "diagram", "text": "Parabricks architecture stack showing Germline, Deep Germline, Somatic, and Copy Number modules on top of CUDA-X.", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "615e89d9-435a-4c56-bb7e-7f58b5572b99", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.48, "x": 0.26, "y": 0.59 }, "kind": "image", "text": "Hardware components visualization", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "57b4b5b7-2903-4386-b9c8-a3dac835e0c5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.74, "x": 0.13, "y": 0.84 }, "kind": "paragraph", "text": "Equivalent Results to Industry Standard GATK4 | 30-50X Faster Processing from NGS to Variant Calling\nPipeline Integrates DeepVariant AI Variant Calling\nParabricks Available Now on NGC", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "876138ec-0c6f-4e73-83dc-8ab9fe78aaa6", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.72, "x": 0.14, "y": 0.05 }, "kind": "title", "text": "NVIDIA PARABRICKS GPU ACCELERATED GENOMICS ANALYSIS TOOLKIT", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6158683b-3997-4718-8811-54dd59cf31ef", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "a0041a3e-4e2c-4c3d-9692-a83a3fba53a5", "evidence": "NVIDIA PARABRICKS GPU ACCELERATED GENOMICS ANALYSIS TOOLKIT", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 00:59:17.325621+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Value Proposition Canvas", "slug": "value-proposition-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-85a9-713f-8a1c-b6e5af5cc6cd", "version": 1, "bodyDocId": null, "description": "Mapping customer jobs/pains/gains to your value proposition", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "6c2eca7d-1b26-4a0d-8d59-965be81586a6", "evidence": "Equivalent Results to Industry Standard GATK4 | 30-50X Faster Processing from NGS to Variant Calling", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-17 00:59:17.360909+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 20, "type": "appendix", "title": "The slide uses a 2x3 grid layout to present different applications of computational genomics.", "function": "illustrate_case", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 78, "componentCount": 13, "textChars": 390, "nDataPoints": 2, "notes": "The slide uses a 2x3 grid layout to present different applications of computational genomics.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:35.406+00", "seconds": 8.509, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/20", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-20", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.28, "x": 0.67, "y": 0.25 }, "kind": "chart", "text": "NMF for Mutographs", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f2f828a-3130-45b3-8909-7549937bd4bf", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.36, "y": 0.25 }, "kind": "image", "text": "Cancer Genomics", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1d6cee7d-dad0-451e-85eb-b8daf035058e", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.36, "y": 0.62 }, "kind": "image", "text": "De Novo Assembly", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "86518881-cd95-4498-85fe-483068335937", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.67, "y": 0.62 }, "kind": "image", "text": "Single Cell ATAC-Seq", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e020b68b-89ec-4d7d-8c32-4c369a694f36", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.05, "y": 0.25 }, "kind": "image", "text": "Life Science Supercomputer", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "660b3c3f-6816-467d-8e4e-652ffa659e64", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.05, "y": 0.62 }, "kind": "image", "text": "AI Basecaller", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8238afa2-fde3-4c4d-8bfe-d5738a364b5e", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.28, "x": 0.67, "y": 0.89 }, "kind": "subtitle", "text": "SINGLE CELL ATAC-SEQ\nAI Denoising", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5e07491f-9db6-4052-86ed-c265f195a728", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.28, "x": 0.67, "y": 0.52 }, "kind": "subtitle", "text": "NMF FOR MUTOGRAPHS\n30X Faster", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "66e74f11-7e61-4465-9b30-f88de02b94d8", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.28, "x": 0.36, "y": 0.89 }, "kind": "subtitle", "text": "DE NOVO ASSEMBLY\nGPU Accelerated Mapping, Alignment, Polishing", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6e7cad30-2a5f-47c7-a41d-4af748c5d730", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.28, "x": 0.36, "y": 0.52 }, "kind": "subtitle", "text": "CANCER GENOMICS\nFaster, More Accurate", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a74367d1-77da-48f7-8f7f-7ddf927a939c", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.28, "x": 0.05, "y": 0.52 }, "kind": "subtitle", "text": "LIFE SCIENCE SUPERCOMPUTER\n60 Genomes/Day", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cdea419f-31d7-4a3f-9337-3f2c3ae4d65f", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.28, "x": 0.05, "y": 0.89 }, "kind": "subtitle", "text": "AI BASECALLER\nNVIDIA Speech AI Basecaller", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f583f10c-30d0-4944-acb5-85357e62139f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.08 }, "kind": "title", "text": "BREAKTHROUGHS IN COMPUTATIONAL GENOMICS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:35.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c38ee7b6-7fd4-486f-a6cc-d999a7cbeff8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "AIDA Model", "slug": "aida-model", "status": "active", "bestFor": null, "canonId": "019dd956-86fc-773c-813f-d416714b8413", "version": 1, "bodyDocId": null, "description": "Attention, Interest, Desire, Action - classic persuasion sequence", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2aee0da7-74c8-4f8b-b16d-9c621d7474f0", "evidence": "BREAKTHROUGHS IN COMPUTATIONAL GENOMICS", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-17 00:59:17.430867+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fc0e22d4-6356-42c2-bf0b-a9a85d09dbd9", "evidence": "subtitle: DE NOVO ASSEMBLY GPU Accelerated Mapping, Alignment, Polishing", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 00:59:17.465877+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 21, "type": "appendix", "title": "The slide uses a three-column layout to categorize the ecosystem into devices, software/compute, and partners.", "function": "present_framework", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "dense", "densityScore": 53, "componentCount": 7, "textChars": 189, "nDataPoints": 0, "notes": "The slide uses a three-column layout to categorize the ecosystem into devices, software/compute, and partners.", "elementsJson": null, "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:33.476+00", "seconds": 6.415, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/21", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-21", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.48, "w": 0.28, "x": 0.367, "y": 0.305 }, "kind": "framework", "text": "NVIDIA Clara and Parabricks software stack", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ee53653d-568e-4f5b-818e-c8417cc54e06", "parentComponentId": null }, { "bbox": { "h": 0.48, "w": 0.28, "x": 0.05, "y": 0.305 }, "kind": "image", "text": "Smart medical devices imagery", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a2eb6182-42a9-4852-a19b-7ff7706d0414", "parentComponentId": null }, { "bbox": { "h": 0.48, "w": 0.28, "x": 0.683, "y": 0.305 }, "kind": "image", "text": "Ecosystem partner logos", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0478fbf2-d4e2-49ab-a459-d1a5c3ee7a5c", "parentComponentId": null }, { "bbox": { "h": 0.025, "w": 0.163, "x": 0.108, "y": 0.748 }, "kind": "subtitle", "text": "SMART MEDICAL DEVICES", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "30514f7c-92b3-462d-a12a-d8bd88b977c1", "parentComponentId": null }, { "bbox": { "h": 0.025, "w": 0.218, "x": 0.714, "y": 0.748 }, "kind": "subtitle", "text": "ECOSYSTEM BREAKTHROUGHS", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6575ba3f-d4ed-44b0-b4a5-ab2325abc23e", "parentComponentId": null }, { "bbox": { "h": 0.025, "w": 0.126, "x": 0.437, "y": 0.748 }, "kind": "subtitle", "text": "GRAPHICS | HPC | AI", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc87e05c-69fc-4f2e-bef2-c128521c7cf5", "parentComponentId": null }, { "bbox": { "h": 0.063, "w": 0.586, "x": 0.207, "y": 0.113 }, "kind": "title", "text": "HEALTHCARE ACCELERATED COMPUTING", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "86f62c22-b772-49ba-b03a-a9a8ad0cdab0", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Canvas framework", "slug": "canvas-framework", "status": "active", "bestFor": null, "canonId": "019dd9e1-5005-762c-82f8-265b08436ca1", "version": 1, "bodyDocId": null, "description": "Named canvas (business model canvas, value prop canvas, etc.).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "04d741e1-4c2e-4a75-97a2-0586eae9a7c1", "evidence": "NVIDIA Clara and Parabricks software stack", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 00:59:17.536198+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null } ], "frameworks": [ { "matchId": "823af12e-2808-4a4f-b289-77a875d6e29a", "evidence": "Visual representation of software layers (Clara, Parabricks) and hardware compute units.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 10:30:33.476+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "frameworkName": "software-stack" } ], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 22, "type": "setup", "title": "This is a standard corporate branding slide, likely used as a cover or transition.", "function": "front_matter", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 31, "nDataPoints": 0, "notes": "This is a standard corporate branding slide, likely used as a cover or transition.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 10:30:29.105+00", "seconds": 2.044, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de50f-85ab-7048-9a5e-4426144480f7/22", "deck": "/decks/019de50f-85ab-7048-9a5e-4426144480f7", "deckAnchor": "/decks/019de50f-85ab-7048-9a5e-4426144480f7#slide-22", "deckJson": "/decks/019de50f-85ab-7048-9a5e-4426144480f7.json" }, "components": [ { "bbox": { "h": 0.75, "w": 0.55, "x": 0.1, "y": 0.05 }, "kind": "image", "text": "3D neural network graphic", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9492366c-7ccb-4fac-8f7e-8a908b02aebc", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.78, "y": 0.78 }, "kind": "image", "text": "NVIDIA", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 10:30:29.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3216af4a-d18f-49d9-80c9-444d6c3ecf1b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [ { "to": 22, "from": 3, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "d9d73ccd-34dc-4ef3-b4af-08c6bb42afb1", "evidence": "NVIDIA's AI computing platform and domain-targeted AI application framework", "position": 0, "objective": "Why NVIDIA is well-positioned for AI adoption in healthcare", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:50:00.26001+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true } ], "arcBeats": [ { "from": 1, "to": 3, "label": "Problem", "description": "Introduction to NVIDIA's healthcare initiatives" }, { "from": 4, "to": 5, "label": "Market Size", "description": "Market sizing and AI breakthroughs in graphics" }, { "from": 13, "to": 15, "label": "Solution", "description": "NVIDIA's domain-targeted AI application framework and federated learning solutions" } ], "loops": [ { "from": 3, "to": 22, "label": "Golden Circle", "description": "Why NVIDIA is well-positioned for AI adoption in healthcare" }, { "from": 10, "to": 12, "label": "Cost Of Inaction", "description": "The cost of not adopting AI in healthcare" } ] }