{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 994, "pageSize": 60, "pageCount": 5333, "rows": [ { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 1, "slideType": "cover", "function": "front_matter", "notes": "Includes presenter details and event context.", "imagePath": "https://imgproxy.kitesheet.com/G8X93PVyBpImFtqUDVWx8TnaTOyScFs4DMH0x_-v6KA/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy83ODQwNjEzYTc2OWZlM2FjL3AwMDEuanBn", "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/1", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-1", "loopMatches": [], "arcBeatMatches": [ { "to": 2, "from": 1, "beatId": "4c53c2bc-c80a-4599-85dc-403d6cbba24d", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Setup", "beatSlug": "setup", "evidence": "The cover slides introduce the topic and provide an overview", "position": 0, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": "https://imgproxy.kitesheet.com/8rkadzIAKkCqk9EgoUthdU00ODt9WNL0trctuf_4jpY/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy83ODQwNjEzYTc2OWZlM2FjL3AwMDEucG5n", "thumbSrc": "https://imgproxy.kitesheet.com/dKyLTIGxgPWDl_QMWedEWR9iDmqgZd59E-v6w_qQ3vQ/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy83ODQwNjEzYTc2OWZlM2FjL3AwMDEuanBn", "thumbSrcAlt": "https://imgproxy.kitesheet.com/xMc0Xce1_bolp0QCM-pvb79XoTv-w89z09DUITbL480/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy83ODQwNjEzYTc2OWZlM2FjL3AwMDEucG5n" }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 2, "slideType": "cover", "function": "front_matter", "notes": "The slide uses a hub-and-spoke visual metaphor to represent AI connectivity.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/2", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-2", "loopMatches": [], "arcBeatMatches": [ { "to": 2, "from": 1, "beatId": "4c53c2bc-c80a-4599-85dc-403d6cbba24d", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Setup", "beatSlug": "setup", "evidence": "The cover slides introduce the topic and provide an overview", "position": 0, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 3, "slideType": "matrix-2x2", "function": "present_framework", "notes": "The slide uses a standard 2x2 prioritization matrix. The IDC prediction callout provides context for the need for this framework.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/3", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-3", "loopMatches": [ { "to": 5, "from": 3, "name": "Benchmark Gap", "slug": "39-benchmark-gap", "bestFor": "Performance improvement, competitive analysis, target setting", "matchId": "7e2951c3-2474-42bf-ad6a-67317d688b19", "evidence": "The use case prioritization matrix implies a benchmarking approach", "position": 0, "objective": "Identify the gap in current AI strategies", "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity", "confidence": 0.6, "description": "Compare performance against best-in-class to quantify the opportunity" } ], "arcBeatMatches": [ { "to": 5, "from": 3, "beatId": "47dfacd0-58fa-44d8-b5a6-a37a712d7d89", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Why", "beatSlug": "golden-circle-why", "evidence": "The use case prioritization and industry examples justify the importance of AI strategy", "position": 1, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 4, "slideType": "client_example", "function": "illustrate_case", "notes": "The slide uses a causal flow structure to show how AR functions influence external business metrics.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/4", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-4", "loopMatches": [ { "to": 5, "from": 3, "name": "Benchmark Gap", "slug": "39-benchmark-gap", "bestFor": "Performance improvement, competitive analysis, target setting", "matchId": "7e2951c3-2474-42bf-ad6a-67317d688b19", "evidence": "The use case prioritization matrix implies a benchmarking approach", "position": 0, "objective": "Identify the gap in current AI strategies", "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity", "confidence": 0.6, "description": "Compare performance against best-in-class to quantify the opportunity" }, { "to": 5, "from": 4, "name": "Voice Of Customer", "slug": "51-voice-of-customer", "bestFor": "Product strategy, customer experience, market research", "matchId": "67258add-7390-495c-935b-2267e54dcd99", "evidence": "The client example and case study suggest a focus on customer needs", "position": 1, "objective": "Understand the needs of customers in AI adoption", "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response", "confidence": 0.6, "description": "Let customer quotes and feedback drive the narrative and validate the insight" } ], "arcBeatMatches": [ { "to": 5, "from": 3, "beatId": "47dfacd0-58fa-44d8-b5a6-a37a712d7d89", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Why", "beatSlug": "golden-circle-why", "evidence": "The use case prioritization and industry examples justify the importance of AI strategy", "position": 1, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 5, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a hexagonal grid layout to represent the manufacturing lifecycle stages.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/5", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-5", "loopMatches": [ { "to": 5, "from": 3, "name": "Benchmark Gap", "slug": "39-benchmark-gap", "bestFor": "Performance improvement, competitive analysis, target setting", "matchId": "7e2951c3-2474-42bf-ad6a-67317d688b19", "evidence": "The use case prioritization matrix implies a benchmarking approach", "position": 0, "objective": "Identify the gap in current AI strategies", "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity", "confidence": 0.6, "description": "Compare performance against best-in-class to quantify the opportunity" }, { "to": 5, "from": 4, "name": "Voice Of Customer", "slug": "51-voice-of-customer", "bestFor": "Product strategy, customer experience, market research", "matchId": "67258add-7390-495c-935b-2267e54dcd99", "evidence": "The client example and case study suggest a focus on customer needs", "position": 1, "objective": "Understand the needs of customers in AI adoption", "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response", "confidence": 0.6, "description": "Let customer quotes and feedback drive the narrative and validate the insight" } ], "arcBeatMatches": [ { "to": 5, "from": 3, "beatId": "47dfacd0-58fa-44d8-b5a6-a37a712d7d89", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Why", "beatSlug": "golden-circle-why", "evidence": "The use case prioritization and industry examples justify the importance of AI strategy", "position": 1, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 6, "slideType": "cover", "function": "front_matter", "notes": "The slide uses a high-tech, futuristic aesthetic with binary code and glowing circuit lines to represent AI.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/6", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-6", "loopMatches": [ { "to": 7, "from": 6, "name": "Why Now", "slug": "15-why-now", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "matchId": "8b703781-b3d8-48b2-b17a-5bcf09d23925", "evidence": "The discussion of industry trends and siloed AI approaches implies a sense of urgency", "position": 2, "objective": "Explain why unified AI platforms are necessary now", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "confidence": 0.6, "description": "Create temporal urgency by proving that the window of opportunity is opening or closing" } ], "arcBeatMatches": [ { "to": 7, "from": 6, "beatId": "eafc31dd-b244-412f-a840-d964e6479f24", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "The discussion of unified AI platforms and industry trends highlights the challenges of siloed AI approaches", "position": 2, "confidence": 0.8, "parentBeatName": "Complication", "parentBeatSlug": "complication" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 7, "slideType": "industry_trends", "function": "present_framework", "notes": "The diagram uses a network/node visualization to represent platform connectivity.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/7", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-7", "loopMatches": [ { "to": 7, "from": 6, "name": "Why Now", "slug": "15-why-now", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "matchId": "8b703781-b3d8-48b2-b17a-5bcf09d23925", "evidence": "The discussion of industry trends and siloed AI approaches implies a sense of urgency", "position": 2, "objective": "Explain why unified AI platforms are necessary now", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "confidence": 0.6, "description": "Create temporal urgency by proving that the window of opportunity is opening or closing" } ], "arcBeatMatches": [ { "to": 7, "from": 6, "beatId": "eafc31dd-b244-412f-a840-d964e6479f24", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "The discussion of unified AI platforms and industry trends highlights the challenges of siloed AI approaches", "position": 2, "confidence": 0.8, "parentBeatName": "Complication", "parentBeatSlug": "complication" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 8, "slideType": "other", "function": "present_framework", "notes": "The central graphic is a stylized brain on a screen, representing the core AI platform.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/8", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-8", "loopMatches": [], "arcBeatMatches": [ { "to": 10, "from": 8, "beatId": "86bf4765-41df-447e-9d7f-9acb44d23334", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The explanation of unified AI platform capabilities and AI-ready data provides a solution approach", "position": 3, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 9, "slideType": "cover", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/9", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-9", "loopMatches": [], "arcBeatMatches": [ { "to": 10, "from": 8, "beatId": "86bf4765-41df-447e-9d7f-9acb44d23334", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The explanation of unified AI platform capabilities and AI-ready data provides a solution approach", "position": 3, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 10, "slideType": "data_table", "function": "analyze_data", "notes": "The slide uses two distinct groupings to categorize data management focus and investment priorities.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/10", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-10", "loopMatches": [], "arcBeatMatches": [ { "to": 10, "from": 8, "beatId": "86bf4765-41df-447e-9d7f-9acb44d23334", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The explanation of unified AI platform capabilities and AI-ready data provides a solution approach", "position": 3, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 11, "slideType": "industry_trends", "function": "present_framework", "notes": "The slide uses a layered plane diagram to represent data architecture and a hexagonal list for the data product discipline.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/11", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-11", "loopMatches": [], "arcBeatMatches": [ { "to": 12, "from": 11, "beatId": "d00cb8df-2678-4995-ae83-f2505e0d486c", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Evidence", "beatSlug": "evidence", "evidence": "The data table and industry trends support the solution approach", "position": 4, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 12, "slideType": "section_divider", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/12", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-12", "loopMatches": [], "arcBeatMatches": [ { "to": 12, "from": 11, "beatId": "d00cb8df-2678-4995-ae83-f2505e0d486c", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Evidence", "beatSlug": "evidence", "evidence": "The data table and industry trends support the solution approach", "position": 4, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 13, "slideType": "kpi_dashboard", "function": "present_solution", "notes": "Includes a flywheel diagram for key processes and a list of KPIs categorized by business impact areas.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/13", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-13", "loopMatches": [], "arcBeatMatches": [ { "to": 13, "from": 13, "beatId": "fca63b80-ca3d-4652-b5be-abd51cca669b", "arcName": "The Sparkline", "arcSlug": "sparkline", "beatName": "Desire", "beatSlug": "aida-desire", "evidence": "The example of Bosideng Group's digital transformation strategy creates desire for similar success", "position": 5, "confidence": 0.8, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 14, "slideType": "appendix_disclosure", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/14", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-14", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ef08bd2be42d", "docSlug": "7840613a769fe3ac", "documentTitle": "2024 Building an AI fueled strategy", "authorId": "IDC", "authorName": "IDC", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.666, "pageNumber": 15, "slideType": "appendix", "function": "other", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ef08bd2be42d/15", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ef08bd2be42d#slide-15", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f46ff198bcc8", "docSlug": "36acf8085928f478", "documentTitle": "2024 Outcompeting with AI in Process Industries", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 1, "slideType": "cover", "function": "front_matter", "notes": null, "imagePath": "https://imgproxy.kitesheet.com/Fe0bU_Gp0sYuJP5D6DWSSn8GqIqfi5wrLDP_VQZFXdY/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNmFjZjgwODU5MjhmNDc4L3AwMDEuanBn", "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f46ff198bcc8/1", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f46ff198bcc8", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f46ff198bcc8#slide-1", "loopMatches": [], "arcBeatMatches": [ { "to": 4, "from": 1, "beatId": "a6c8fd3b-1f2b-4ae3-bdeb-c19578cf4be8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "The deck sets the stage with an overview of AI technologies and market sizing", "position": 0, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": "https://imgproxy.kitesheet.com/V_IKcYRBH-cUnLMxZYCPmS09ER6UBrJh9OgQgBMCWkw/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNmFjZjgwODU5MjhmNDc4L3AwMDEucG5n", "thumbSrc": "https://imgproxy.kitesheet.com/zCjXGBuwa2MfYCITG3T0bdIBY-4xBm2DDclSkzZKwqQ/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNmFjZjgwODU5MjhmNDc4L3AwMDEuanBn", "thumbSrcAlt": "https://imgproxy.kitesheet.com/Bzeq3S6D8FnY07KNSZMpuL6ZK7zOnk87FIlcjPCnRFo/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNmFjZjgwODU5MjhmNDc4L3AwMDEucG5n" }, { "docId": "019dd923-5e88-73ef-bd5d-f46ff198bcc8", "docSlug": "36acf8085928f478", "documentTitle": "2024 Outcompeting with AI in Process Industries", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 2, "slideType": "agenda", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f46ff198bcc8/2", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f46ff198bcc8", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f46ff198bcc8#slide-2", "loopMatches": [], "arcBeatMatches": [ { "to": 4, "from": 1, "beatId": "a6c8fd3b-1f2b-4ae3-bdeb-c19578cf4be8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "The deck sets the stage with an overview of AI technologies and market sizing", "position": 0, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f46ff198bcc8", "docSlug": "36acf8085928f478", "documentTitle": "2024 Outcompeting with AI in Process Industries", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 3, "slideType": "timeline", "function": "establish_context", "notes": "The slide uses a nested timeline structure to show how sub-fields (ML, DL, GenAI) emerged from the broader field of AI.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f46ff198bcc8/3", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f46ff198bcc8", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f46ff198bcc8#slide-3", "loopMatches": [], "arcBeatMatches": [ { "to": 4, "from": 1, "beatId": "a6c8fd3b-1f2b-4ae3-bdeb-c19578cf4be8", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "The deck sets the stage with an overview of AI technologies and market sizing", "position": 0, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 1, "slideType": "cover", "function": "front_matter", "notes": "Includes KPMG logo and date.", "imagePath": "https://imgproxy.kitesheet.com/eA2omfdb-RPfUjBq9PXYtFFf5hn0u7nvUCZ6w3iNxYw/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNmQzOTUzZTBjYjEwZWRmL3AwMDEuanBn", "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/1", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-1", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": "https://imgproxy.kitesheet.com/qNi2znJs11YmsWVW5OeA8cKZOYkhd0RtwX-ecvkOhEs/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNmQzOTUzZTBjYjEwZWRmL3AwMDEucG5n", "thumbSrc": "https://imgproxy.kitesheet.com/-eQ79nAG-hN6aM5Mb9fnne6NB85qgKj53ZKgHO4q0sk/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNmQzOTUzZTBjYjEwZWRmL3AwMDEuanBn", "thumbSrcAlt": "https://imgproxy.kitesheet.com/G8TFhcrJBfFPbsnciys1BNRMoAm2hWNeAzcWG5aH8rA/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNmQzOTUzZTBjYjEwZWRmL3AwMDEucG5n" }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 2, "slideType": "executive_summary", "function": "summarize", "notes": "The slide uses a split-layout with a narrative on the left and key findings on the right. It includes a footer with source and disclaimer information.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/2", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-2", "loopMatches": [ { "to": 3, "from": 2, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "6eee4348-85bd-457d-8ced-285c049a8cdf", "evidence": "The executive summary highlights the pressure to scale AI companywide.", "position": 0, "objective": "What are the costs of not scaling AI companywide?", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.6, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 3, "from": 2, "beatId": "78924ed9-aeb1-4471-b4a5-f1c0d5a495be", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "The executive summary provides an overview of the current situation and context.", "position": 0, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 3, "from": 2, "beatId": "73a351e2-f546-4a4c-a0fc-711bd7d01409", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "The executive summary highlights the pressure to scale AI companywide.", "position": 1, "confidence": 0.8, "parentBeatName": "Complication", "parentBeatSlug": "complication" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 3, "slideType": "executive_summary", "function": "establish_context", "notes": "Includes a navigation bar at the top indicating this is the 'Introduction' section of a larger deck.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/3", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-3", "loopMatches": [ { "to": 3, "from": 2, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "6eee4348-85bd-457d-8ced-285c049a8cdf", "evidence": "The executive summary highlights the pressure to scale AI companywide.", "position": 0, "objective": "What are the costs of not scaling AI companywide?", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.6, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 3, "from": 2, "beatId": "78924ed9-aeb1-4471-b4a5-f1c0d5a495be", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "The executive summary provides an overview of the current situation and context.", "position": 0, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 3, "from": 2, "beatId": "73a351e2-f546-4a4c-a0fc-711bd7d01409", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": "consultants-gambit-problem-complication", "evidence": "The executive summary highlights the pressure to scale AI companywide.", "position": 1, "confidence": 0.8, "parentBeatName": "Complication", "parentBeatSlug": "complication" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 4, "slideType": "appendix_methodology", "function": "present_framework", "notes": "The slide uses a nested circle diagram to represent the hierarchy of the data sample (17M -> 7K -> 500 -> 50).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/4", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-4", "loopMatches": [], "arcBeatMatches": [ { "to": 7, "from": 4, "beatId": "f60b5a84-3863-49db-99eb-f1e4fff40a77", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "The appendix methodology and market sizing slides provide evidence and proof.", "position": 2, "confidence": 0.8, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 5, "slideType": "appendix_methodology", "function": "present_framework", "notes": "The slide outlines a 6-step process for calculating GenAI value, contrasting it with top-down use-case-based approaches.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/5", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-5", "loopMatches": [], "arcBeatMatches": [ { "to": 7, "from": 4, "beatId": "f60b5a84-3863-49db-99eb-f1e4fff40a77", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "The appendix methodology and market sizing slides provide evidence and proof.", "position": 2, "confidence": 0.8, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 6, "slideType": "market_sizing", "function": "size_opportunity", "notes": "Uses an iceberg metaphor to distinguish between visible GenAI augmentation and submerged other AI/digital automation opportunities.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/6", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-6", "loopMatches": [], "arcBeatMatches": [ { "to": 7, "from": 4, "beatId": "f60b5a84-3863-49db-99eb-f1e4fff40a77", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "The appendix methodology and market sizing slides provide evidence and proof.", "position": 2, "confidence": 0.8, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 7, "slideType": "market_sizing", "function": "size_opportunity", "notes": "Includes a disclaimer section regarding the limitations of the estimates.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/7", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-7", "loopMatches": [], "arcBeatMatches": [ { "to": 7, "from": 4, "beatId": "f60b5a84-3863-49db-99eb-f1e4fff40a77", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "The appendix methodology and market sizing slides provide evidence and proof.", "position": 2, "confidence": 0.8, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 8, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The slide uses stacked bar charts to show the breakdown of low, medium, and high complexity opportunities.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/8", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-8", "loopMatches": [ { "to": 11, "from": 8, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "88fa1a16-d5af-4fb2-b12c-5261b5c55b55", "evidence": "The impact sizing slides provide a breakdown of the GenAI opportunity.", "position": 1, "objective": "How can the GenAI opportunity be broken down by function and department?", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 0.7, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 14, "from": 8, "beatId": "ded1f753-18c0-48e1-9b64-bea158fa3923", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The impact sizing and maturity model slides provide insights into the GenAI opportunity and recommended next steps.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 9, "slideType": "data_table", "function": "analyze_data", "notes": "The chart uses a color-coded legend to map functions to specific colors, though the legend order does not strictly match the visual order in the bars.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/9", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-9", "loopMatches": [ { "to": 11, "from": 8, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "88fa1a16-d5af-4fb2-b12c-5261b5c55b55", "evidence": "The impact sizing slides provide a breakdown of the GenAI opportunity.", "position": 1, "objective": "How can the GenAI opportunity be broken down by function and department?", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 0.7, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 14, "from": 8, "beatId": "ded1f753-18c0-48e1-9b64-bea158fa3923", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The impact sizing and maturity model slides provide insights into the GenAI opportunity and recommended next steps.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 10, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The slide uses a tree-like decomposition structure to map company value to specific roles and use cases.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/10", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-10", "loopMatches": [ { "to": 11, "from": 8, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "88fa1a16-d5af-4fb2-b12c-5261b5c55b55", "evidence": "The impact sizing slides provide a breakdown of the GenAI opportunity.", "position": 1, "objective": "How can the GenAI opportunity be broken down by function and department?", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 0.7, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 14, "from": 8, "beatId": "ded1f753-18c0-48e1-9b64-bea158fa3923", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The impact sizing and maturity model slides provide insights into the GenAI opportunity and recommended next steps.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 11, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The slide uses a table to map specific HR tasks to time savings percentages, categorized by 'Ease of capture'.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/11", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-11", "loopMatches": [ { "to": 11, "from": 8, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "88fa1a16-d5af-4fb2-b12c-5261b5c55b55", "evidence": "The impact sizing slides provide a breakdown of the GenAI opportunity.", "position": 1, "objective": "How can the GenAI opportunity be broken down by function and department?", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 0.7, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 14, "from": 8, "beatId": "ded1f753-18c0-48e1-9b64-bea158fa3923", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The impact sizing and maturity model slides provide insights into the GenAI opportunity and recommended next steps.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 12, "slideType": "maturity_model", "function": "present_framework", "notes": "The slide uses a 3x3 matrix concept presented as a maturity curve.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/12", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-12", "loopMatches": [], "arcBeatMatches": [ { "to": 14, "from": 8, "beatId": "ded1f753-18c0-48e1-9b64-bea158fa3923", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The impact sizing and maturity model slides provide insights into the GenAI opportunity and recommended next steps.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 13, "slideType": "roadmap", "function": "present_framework", "notes": "The slide uses a matrix-like structure to map organizational layers against transformation phases.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/13", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-13", "loopMatches": [], "arcBeatMatches": [ { "to": 14, "from": 8, "beatId": "ded1f753-18c0-48e1-9b64-bea158fa3923", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The impact sizing and maturity model slides provide insights into the GenAI opportunity and recommended next steps.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 14, "slideType": "pain_points", "function": "frame_problem", "notes": "The slide uses a sidebar for quantitative data and a main body for qualitative explanation of the three barriers.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/14", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-14", "loopMatches": [], "arcBeatMatches": [ { "to": 14, "from": 8, "beatId": "ded1f753-18c0-48e1-9b64-bea158fa3923", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The impact sizing and maturity model slides provide insights into the GenAI opportunity and recommended next steps.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 15, "slideType": "case_study", "function": "illustrate_case", "notes": "Includes a table of opportunity hours by function and a table of rollout strategy options.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/15", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-15", "loopMatches": [ { "to": 18, "from": 15, "name": "Jobs To Be Done", "slug": "53-jobs-to-be-done", "bestFor": "Product innovation, market entry, competitive positioning", "matchId": "942592d0-2cbb-431c-875d-d9c25f0c085c", "evidence": "The case studies provide examples of jobs that can be done with GenAI.", "position": 2, "objective": "What are the specific jobs that can be done with GenAI?", "structure": "The Customer's Job -> Current Solutions (Hired/Fired) -> Unmet Needs -> Our Solution Fit", "confidence": 0.6, "description": "Reframe the problem around what the customer is trying to accomplish, not what they're buying" } ], "arcBeatMatches": [ { "to": 18, "from": 15, "beatId": "fa014e36-b54d-4038-928c-877f996c8b8d", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The case studies and initiative list provide examples of the solution approach.", "position": 4, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 16, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a structured approach to present the opportunity, realized benefits, and potential value at scale.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/16", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-16", "loopMatches": [ { "to": 18, "from": 15, "name": "Jobs To Be Done", "slug": "53-jobs-to-be-done", "bestFor": "Product innovation, market entry, competitive positioning", "matchId": "942592d0-2cbb-431c-875d-d9c25f0c085c", "evidence": "The case studies provide examples of jobs that can be done with GenAI.", "position": 2, "objective": "What are the specific jobs that can be done with GenAI?", "structure": "The Customer's Job -> Current Solutions (Hired/Fired) -> Unmet Needs -> Our Solution Fit", "confidence": 0.6, "description": "Reframe the problem around what the customer is trying to accomplish, not what they're buying" } ], "arcBeatMatches": [ { "to": 18, "from": 15, "beatId": "fa014e36-b54d-4038-928c-877f996c8b8d", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The case studies and initiative list provide examples of the solution approach.", "position": 4, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 17, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a three-year roadmap structure (ELEVATE, SCALE, PROPEL) to illustrate the path forward.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/17", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-17", "loopMatches": [ { "to": 18, "from": 15, "name": "Jobs To Be Done", "slug": "53-jobs-to-be-done", "bestFor": "Product innovation, market entry, competitive positioning", "matchId": "942592d0-2cbb-431c-875d-d9c25f0c085c", "evidence": "The case studies provide examples of jobs that can be done with GenAI.", "position": 2, "objective": "What are the specific jobs that can be done with GenAI?", "structure": "The Customer's Job -> Current Solutions (Hired/Fired) -> Unmet Needs -> Our Solution Fit", "confidence": 0.6, "description": "Reframe the problem around what the customer is trying to accomplish, not what they're buying" } ], "arcBeatMatches": [ { "to": 18, "from": 15, "beatId": "fa014e36-b54d-4038-928c-877f996c8b8d", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The case studies and initiative list provide examples of the solution approach.", "position": 4, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 18, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide uses a navigation bar at the top and a footer with page number and copyright. It presents three distinct service pillars with associated case study thumbnails and bulleted benefits.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/18", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-18", "loopMatches": [ { "to": 18, "from": 15, "name": "Jobs To Be Done", "slug": "53-jobs-to-be-done", "bestFor": "Product innovation, market entry, competitive positioning", "matchId": "942592d0-2cbb-431c-875d-d9c25f0c085c", "evidence": "The case studies provide examples of jobs that can be done with GenAI.", "position": 2, "objective": "What are the specific jobs that can be done with GenAI?", "structure": "The Customer's Job -> Current Solutions (Hired/Fired) -> Unmet Needs -> Our Solution Fit", "confidence": 0.6, "description": "Reframe the problem around what the customer is trying to accomplish, not what they're buying" } ], "arcBeatMatches": [ { "to": 18, "from": 15, "beatId": "fa014e36-b54d-4038-928c-877f996c8b8d", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The case studies and initiative list provide examples of the solution approach.", "position": 4, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 19, "slideType": "team_bio", "function": "other", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/19", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-19", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-f31ac68d727e", "docSlug": "06d3953e0cb10edf", "documentTitle": "2025 Quantifying the GenAI opportunity", "authorId": "KPMG", "authorName": "KPMG", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 20, "slideType": "appendix_disclosure", "function": "other", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-f31ac68d727e/20", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-f31ac68d727e#slide-20", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 55, "slideType": "key_takeaways", "function": "summarize", "notes": "The slide uses a split-layout with a summary on the left and detailed narrative on the right.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/55", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-55", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 56, "slideType": "key_messages", "function": "summarize", "notes": "The slide is structured as a two-page spread with four distinct sections: two focused on content creation and two on hyper-personalization.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/56", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-56", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 57, "slideType": "section_divider", "function": "transition", "notes": "Includes a research methodology footnote at the bottom right.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/57", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-57", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 58, "slideType": "key_takeaways", "function": "summarize", "notes": "Includes a quote from Nicole Eagan (Darktrace) and specific data points regarding breach costs and executive sentiment.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/58", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-58", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 59, "slideType": "key_messages", "function": "summarize", "notes": "The slide is a two-page spread (110-111) containing four distinct sections of text organized by 'What you need to know' and 'What you need to do'.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/59", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-59", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 60, "slideType": "section_divider", "function": "establish_context", "notes": "The slide features a large background image of a floating solar farm and a pull-quote from Michael Lewis, CEO of Uniper SE.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/60", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-60", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 61, "slideType": "executive_summary", "function": "summarize", "notes": "The slide uses a split-layout with a blue left panel for high-level framework and a white right panel for detailed narrative and data points.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/61", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-61", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 62, "slideType": "key_messages", "function": "summarize", "notes": "The slide is a two-page spread (116-117) containing four distinct sections of 'What you need to know' and 'What you need to do'.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/62", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-62", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 63, "slideType": "section_divider", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/63", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-63", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 64, "slideType": "section_divider", "function": "transition", "notes": "Part of a larger report, likely IBM IBV.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/64", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-64", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 65, "slideType": "key_takeaways", "function": "summarize", "notes": "Includes a quote from Hiroshi Okuyama (Yanmar Holdings).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/65", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-65", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 66, "slideType": "key_takeaways", "function": "summarize", "notes": "The slide is a two-page spread (124-125) focusing on 'People' and 'Readiness' within the context of AI transformation.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/66", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-66", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 67, "slideType": "section_divider", "function": "transition", "notes": "Includes a quote from Kazz Kobayashi and research methodology disclosure.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/67", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-67", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 68, "slideType": "key_takeaways", "function": "summarize", "notes": "Includes a testimonial from Judy McReynolds, Chairman and CEO of ArcBest.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/68", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-68", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 69, "slideType": "key_takeaways", "function": "summarize", "notes": "The slide is a two-page spread (130-131) structured as four distinct columns of text under 'What you need to know' and 'What you need to do'.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/69", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-69", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 70, "slideType": "ceo_quote", "function": "establish_context", "notes": "The slide includes a research methodology footnote at the bottom right.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/70", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-70", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 71, "slideType": "key_messages", "function": "summarize", "notes": "The slide uses a split-layout with a summary framework on the left and detailed text on the right.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/71", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-71", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 72, "slideType": "key_messages", "function": "summarize", "notes": "This is a two-page spread (136-137) presented as a single slide inventory.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/72", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-72", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 73, "slideType": "appendix", "function": "appendix", "notes": "This is a two-page spread (138-139) containing back-matter and a concluding essay.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/73", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-73", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 74, "slideType": "appendix_disclosure", "function": "appendix", "notes": "This is a standard back-matter page containing endnotes and corporate legal boilerplate.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/74", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-74", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 75, "slideType": "cover", "function": "front_matter", "notes": "The slide is entirely empty, likely a placeholder or a background template.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/75", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-75", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 76, "slideType": "cover", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/76", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-76", "loopMatches": [], "arcBeatMatches": [ { "to": 76, "from": 21, "beatId": "362ed974-b8f0-446b-ba58-2861055f4ad1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The guide concludes with key takeaways, action items, and a vision for the future of generative AI in business.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }