{
  "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
  "docSlug": "196a657db0bc864a",
  "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 17,
  "pageCount": 27,
  "prevPage": 16,
  "nextPage": 18,
  "slideType": "recommendation",
  "function": "recommend",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a numbered list format to present strategic recommendations for AI ecosystem management.",
  "elementsJson": [
    "headline_text",
    "numbered_list",
    "paragraph",
    "illustration"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/17",
  "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-17",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "To drive transformative impact with AI, companies need access to: Large diverse sector-specific and customer-wide data, Potential for deeper experiments with vertical AI, Faster feedback loops to enable quick development cycles, Support in use case expansion.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-fefa-773b-abc9-7ffa5131b7fb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.24,
        "x": 0.03,
        "y": 0.32
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6e715f55-245f-40aa-9fb3-fc2e14b3263a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.24,
        "x": 0.03,
        "y": 0.64
      },
      "kind": "list",
      "text": "To drive transformative impact with AI, companies need access to: Large diverse sector-specific and customer-wide data; Potential for deeper experiments with vertical AI; Faster feedback loops to enable quick development cycles; Support in use case expansion",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0deabc0b-c1d0-4464-a35a-304428e58351",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.6,
        "x": 0.33,
        "y": 0.35
      },
      "kind": "list",
      "text": "1. Do not treat AI solutions as a plug-and-play; 2. Carefully scout for and validate AI pioneers and partners; 3. Collaboratively innovate on how to exchange information",
      "attrs": null,
      "subkind": "numbered",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4ce8ffe6-78b3-4fa4-afa8-142ed28a4b2b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.15,
        "x": 0.03,
        "y": 0.96
      },
      "kind": "source-note",
      "text": "Sources: BCG experience and analyses",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "84ae45a1-0f06-4d9b-8012-c237a174b4d5",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.22,
        "x": 0.03,
        "y": 0.23
      },
      "kind": "subtitle",
      "text": "AI requires access to data and collaboration",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cae06f0f-1722-48e0-b797-e78647d8afe8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.85,
        "x": 0.08,
        "y": 0.05
      },
      "kind": "title",
      "text": "Effectively orchestrate an AI ecosystem to enable fast learning, scaling, and lower technology costs",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "36dfab74-97d5-40e5-924d-49c91f918982",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-14f5-72a3-8b93-9a39b9e80d1f",
      "evidence": "Title 'Effectively orchestrate an AI ecosystem'",
      "confidence": 90
    },
    {
      "name": "So What? Test",
      "slug": "so-what-test",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-14f5-72a3-8b93-9cc4183d708a",
      "evidence": "Callout lists three reasons companies need ecosystem access",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 20,
      "from": 13,
      "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "Six implications for leaders, each on its own deep-dive page",
      "position": 3,
      "confidence": 88,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    },
    {
      "to": 20,
      "from": 13,
      "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Action (Now What)",
      "beatSlug": "triple-take-the-action-now-what",
      "evidence": "Six leader implications and recommendations",
      "position": 3,
      "confidence": 60,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 20,
      "from": 13,
      "name": "Mece Breakdown",
      "slug": "40-mece-breakdown",
      "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
      "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
      "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
      "position": 4,
      "objective": "Present six MECE leader implications across two operating buckets",
      "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
      "confidence": 85,
      "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}