{
  "docId": "019de511-8c3b-73aa-b9bb-9cf527aa8939",
  "docSlug": "2292fac7da382e5e02f678f940d7e70b",
  "documentTitle": "NVIDIA | Investor Presentation Deck | 10 slides",
  "authorId": "nvidia",
  "authorName": "NVIDIA",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2021-09-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 7,
  "pageCount": 10,
  "prevPage": 6,
  "nextPage": 8,
  "slideType": "other",
  "function": "present_framework",
  "density": "sparse",
  "nDataPoints": 0,
  "notes": "The diagram depicts a flywheel-style process for autonomous vehicle training.",
  "elementsJson": null,
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019de511-8c3b-73aa-b9bb-9cf527aa8939/7",
  "deckHref": "/decks/019de511-8c3b-73aa-b9bb-9cf527aa8939",
  "deckJsonHref": "/decks/019de511-8c3b-73aa-b9bb-9cf527aa8939.json",
  "deckAnchorHref": "/decks/019de511-8c3b-73aa-b9bb-9cf527aa8939#slide-7",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.85,
        "x": 0.08,
        "y": 0.3
      },
      "kind": "diagram",
      "text": "MLOps workflow loop",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "07ead7c9-292b-417e-8cec-bcf1147c3534",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.85,
        "x": 0.08,
        "y": 0.3
      },
      "kind": "framework",
      "text": "Flywheel",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e53aea4b-b0a9-448a-8f13-6f92a844d638",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.91,
        "x": 0.09,
        "y": 0.11
      },
      "kind": "title",
      "text": "ML OPS WORKFLOW DESIGNED FOR WORLDWIDE SCALE",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "38fd87cf-4e63-4ab7-ae5c-9857cbd699e2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.36,
        "x": 0.32,
        "y": 0.18
      },
      "kind": "title",
      "text": "Interconnected Development Loops",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f8e3a4ff-429e-4799-8b3a-ea776b480910",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Flywheel",
      "slug": "flywheel",
      "agent": null,
      "layer": "slide",
      "matchId": "93c4548e-ccfd-4891-94f6-288f7e97a489",
      "evidence": "framework/instance: Flywheel",
      "confidence": 0.9
    }
  ],
  "frameworks": [
    {
      "name": "flywheel",
      "slug": null,
      "matchId": "a33a549d-7d28-4416-aab8-dfa98b443707",
      "evidence": "The diagram shows a continuous loop of data collection, labeling, and simulation updates.",
      "confidence": 0.9
    }
  ],
  "arcBeats": [
    {
      "to": 7,
      "from": 6,
      "beatId": "1405afaf-265a-4ce1-9905-742e3148a510",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Market Size",
      "beatSlug": "sequoia-pitch-market-size",
      "evidence": "Slides 6-7 present the market opportunity",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 7,
      "from": 6,
      "name": "Quick Win Big Bet",
      "slug": "47-quick-win-big-bet",
      "bestFor": "Transformation planning, 100-day plans, resource allocation",
      "matchId": "3b053657-3596-45d4-b792-4f833c4a4c2c",
      "evidence": "Slides 6-7 present the growing platform adoption",
      "position": 1,
      "objective": "How can we grow the platform adoption?",
      "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
      "confidence": 0.6,
      "description": "Separate initiatives into immediate wins and longer-term strategic bets"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}