{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 1734,
  "pageSize": 18,
  "pageCount": 17777,
  "rows": [
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 39,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "Uses a 'flywheel' concept implicitly by contrasting the 'pressured' state with the 'experimentation' solution.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/39",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-39",
      "loopMatches": [
        {
          "to": 41,
          "from": 37,
          "name": "Quick Win Big Bet",
          "slug": "47-quick-win-big-bet",
          "bestFor": "Transformation planning, 100-day plans, resource allocation",
          "matchId": "019dd95a-088c-724c-b312-9717afb0cb3b",
          "evidence": "Cost lever framework p37 with quick-win EBITDA uplift, then GenAI p38, marketing flywheel p39, decarb p40, 2030 €2-2.5T size p41.",
          "position": 9,
          "objective": "Lay out performance improvement levers and long-horizon plays",
          "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
          "confidence": 78,
          "description": "Separate initiatives into immediate wins and longer-term strategic bets"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 41,
          "from": 33,
          "beatId": "019dd95a-07a5-761b-9143-b9ab37e5242c",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Polarization data, margin pressures, performance levers, GenAI, decarbonization, €2-2.5T 2030 sizing.",
          "position": 4,
          "confidence": 88,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 43,
          "from": 37,
          "beatId": "019dd95a-07a5-761b-9143-cbbf1cf54c1f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Performance levers, trade-offs, CEO agenda.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 40,
      "slideType": "impact_sizing",
      "function": "quantify_impact",
      "notes": "The slide uses a standard Marginal Abatement Cost Curve (MACC) framework to visualize ROI vs abatement potential.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/40",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-40",
      "loopMatches": [
        {
          "to": 41,
          "from": 37,
          "name": "Quick Win Big Bet",
          "slug": "47-quick-win-big-bet",
          "bestFor": "Transformation planning, 100-day plans, resource allocation",
          "matchId": "019dd95a-088c-724c-b312-9717afb0cb3b",
          "evidence": "Cost lever framework p37 with quick-win EBITDA uplift, then GenAI p38, marketing flywheel p39, decarb p40, 2030 €2-2.5T size p41.",
          "position": 9,
          "objective": "Lay out performance improvement levers and long-horizon plays",
          "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
          "confidence": 78,
          "description": "Separate initiatives into immediate wins and longer-term strategic bets"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 41,
          "from": 33,
          "beatId": "019dd95a-07a5-761b-9143-b9ab37e5242c",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Polarization data, margin pressures, performance levers, GenAI, decarbonization, €2-2.5T 2030 sizing.",
          "position": 4,
          "confidence": 88,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 43,
          "from": 37,
          "beatId": "019dd95a-07a5-761b-9143-cbbf1cf54c1f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Performance levers, trade-offs, CEO agenda.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 41,
      "slideType": "market_sizing",
      "function": "size_opportunity",
      "notes": "The slide uses a combination of metrics and a waterfall-style growth chart to illustrate market potential.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/41",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-41",
      "loopMatches": [
        {
          "to": 41,
          "from": 37,
          "name": "Quick Win Big Bet",
          "slug": "47-quick-win-big-bet",
          "bestFor": "Transformation planning, 100-day plans, resource allocation",
          "matchId": "019dd95a-088c-724c-b312-9717afb0cb3b",
          "evidence": "Cost lever framework p37 with quick-win EBITDA uplift, then GenAI p38, marketing flywheel p39, decarb p40, 2030 €2-2.5T size p41.",
          "position": 9,
          "objective": "Lay out performance improvement levers and long-horizon plays",
          "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
          "confidence": 78,
          "description": "Separate initiatives into immediate wins and longer-term strategic bets"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 41,
          "from": 33,
          "beatId": "019dd95a-07a5-761b-9143-b9ab37e5242c",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Polarization data, margin pressures, performance levers, GenAI, decarbonization, €2-2.5T 2030 sizing.",
          "position": 4,
          "confidence": 88,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 43,
          "from": 37,
          "beatId": "019dd95a-07a5-761b-9143-cbbf1cf54c1f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Performance levers, trade-offs, CEO agenda.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 42,
      "slideType": "strategic_options",
      "function": "present_framework",
      "notes": "The slide uses a series of slider-like diagrams to represent spectrums between two strategic poles.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/42",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-42",
      "loopMatches": [
        {
          "to": 43,
          "from": 42,
          "name": "Tradeoff Triangle",
          "slug": "38-tradeoff-triangle",
          "bestFor": "Resource allocation, strategic choices, expectation setting",
          "matchId": "019dd95a-088c-724c-b312-9aad4d3f6fd3",
          "evidence": "p42 sliders (Desire-Love, Exclusivity-Inclusivity, etc.) and p43 four-pillar CEO agenda (Refocus/Foster/Favor/Deliver).",
          "position": 10,
          "objective": "Force explicit trade-off choices and crystallize CEO agenda",
          "structure": "Priority A vs Priority B vs Priority C -> What We're Optimizing For -> What We're Sacrificing -> Why This Trade-Off",
          "confidence": 88,
          "description": "Show that you can only optimize for 2 of 3 competing priorities"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 43,
          "from": 42,
          "beatId": "019dd95a-07a5-761b-9143-bd9163f11037",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": "consultants-gambit-impact-next-steps",
          "evidence": "Trade-off sliders + 4-pillar CEO agenda (Refocus, Foster, Favor, Deliver).",
          "position": 5,
          "confidence": 88,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 43,
          "from": 37,
          "beatId": "019dd95a-07a5-761b-9143-cbbf1cf54c1f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Performance levers, trade-offs, CEO agenda.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 43,
      "slideType": "key_messages",
      "function": "summarize",
      "notes": "The slide uses a dual-layer structure: a top strategic pillar section and a bottom operational/enabler section.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/43",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-43",
      "loopMatches": [
        {
          "to": 43,
          "from": 42,
          "name": "Tradeoff Triangle",
          "slug": "38-tradeoff-triangle",
          "bestFor": "Resource allocation, strategic choices, expectation setting",
          "matchId": "019dd95a-088c-724c-b312-9aad4d3f6fd3",
          "evidence": "p42 sliders (Desire-Love, Exclusivity-Inclusivity, etc.) and p43 four-pillar CEO agenda (Refocus/Foster/Favor/Deliver).",
          "position": 10,
          "objective": "Force explicit trade-off choices and crystallize CEO agenda",
          "structure": "Priority A vs Priority B vs Priority C -> What We're Optimizing For -> What We're Sacrificing -> Why This Trade-Off",
          "confidence": 88,
          "description": "Show that you can only optimize for 2 of 3 competing priorities"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 43,
          "from": 42,
          "beatId": "019dd95a-07a5-761b-9143-bd9163f11037",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": "consultants-gambit-impact-next-steps",
          "evidence": "Trade-off sliders + 4-pillar CEO agenda (Refocus, Foster, Favor, Deliver).",
          "position": 5,
          "confidence": 88,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 43,
          "from": 37,
          "beatId": "019dd95a-07a5-761b-9143-cbbf1cf54c1f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Performance levers, trade-offs, CEO agenda.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 44,
      "slideType": "closing_ask",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/44",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-44",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 45,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/45",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-45",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 46,
      "slideType": "appendix",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/46",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-46",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 47,
      "slideType": "appendix_methodology",
      "function": "present_framework",
      "notes": "The slide uses a waterfall-style diagram to illustrate the bottom-up aggregation of player sales.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/47",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-47",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 48,
      "slideType": "market_sizing",
      "function": "size_opportunity",
      "notes": "The slide uses a visual bridge to explain the delta between the old and new market perimeter.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/48",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-48",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-5fad5bdb4442",
      "docSlug": "1d0e1b7d20818e3d",
      "documentTitle": "Good times for a change",
      "authorId": "Bain",
      "authorName": "Bain",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 49,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-5fad5bdb4442/49",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-5fad5bdb4442#slide-49",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
      "docSlug": "ff5d549e5027972a",
      "documentTitle": "GPT-3 and the actuarial landscape",
      "authorId": "OliverWyman",
      "authorName": "Oliver Wyman",
      "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/uBbwUCNWKJzqxzHIJXa_giTngI2rEZStRI51H3a9_jA/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9mZjVkNTQ5ZTUwMjc5NzJhL3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/1",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 5,
          "from": 1,
          "beatId": "bfc10720-c292-42d4-a612-64530096e5a4",
          "arcName": "The Sparkline",
          "arcSlug": "sparkline",
          "beatName": "What Is",
          "beatSlug": "sparkline-what-is-1",
          "evidence": "The deck introduces GPT-3 and NLP, providing context and background information.",
          "position": 0,
          "confidence": 0.8,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": "https://imgproxy.kitesheet.com/00HFoSdzoPk-mfJ_Bs6IhVpwOskMf2OLCQJ3WdMTshM/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9mZjVkNTQ5ZTUwMjc5NzJhL3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/39Cfd-a4tJ7UC5xDvJVW57HlG6I3Fxl4P8evj3LYBr0/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9mZjVkNTQ5ZTUwMjc5NzJhL3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/Vqne87KUZ7P_B5g6zJPxLNtlEPY5hHQecFGngbl1XUc/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9mZjVkNTQ5ZTUwMjc5NzJhL3AwMDEucG5n"
    },
    {
      "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
      "docSlug": "ff5d549e5027972a",
      "documentTitle": "GPT-3 and the actuarial landscape",
      "authorId": "OliverWyman",
      "authorName": "Oliver Wyman",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 2,
      "slideType": "disclaimer",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/2",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-2",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 5,
          "from": 1,
          "beatId": "bfc10720-c292-42d4-a612-64530096e5a4",
          "arcName": "The Sparkline",
          "arcSlug": "sparkline",
          "beatName": "What Is",
          "beatSlug": "sparkline-what-is-1",
          "evidence": "The deck introduces GPT-3 and NLP, providing context and background information.",
          "position": 0,
          "confidence": 0.8,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
      "docSlug": "ff5d549e5027972a",
      "documentTitle": "GPT-3 and the actuarial landscape",
      "authorId": "OliverWyman",
      "authorName": "Oliver Wyman",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 3,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/3",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-3",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 5,
          "from": 1,
          "beatId": "bfc10720-c292-42d4-a612-64530096e5a4",
          "arcName": "The Sparkline",
          "arcSlug": "sparkline",
          "beatName": "What Is",
          "beatSlug": "sparkline-what-is-1",
          "evidence": "The deck introduces GPT-3 and NLP, providing context and background information.",
          "position": 0,
          "confidence": 0.8,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
      "docSlug": "ff5d549e5027972a",
      "documentTitle": "GPT-3 and the actuarial landscape",
      "authorId": "OliverWyman",
      "authorName": "Oliver Wyman",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 4,
      "slideType": "agenda",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/4",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-4",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 5,
          "from": 1,
          "beatId": "bfc10720-c292-42d4-a612-64530096e5a4",
          "arcName": "The Sparkline",
          "arcSlug": "sparkline",
          "beatName": "What Is",
          "beatSlug": "sparkline-what-is-1",
          "evidence": "The deck introduces GPT-3 and NLP, providing context and background information.",
          "position": 0,
          "confidence": 0.8,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
      "docSlug": "ff5d549e5027972a",
      "documentTitle": "GPT-3 and the actuarial landscape",
      "authorId": "OliverWyman",
      "authorName": "Oliver Wyman",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 5,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/5",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-5",
      "loopMatches": [
        {
          "to": 10,
          "from": 5,
          "name": "Golden Circle",
          "slug": "11-golden-circle",
          "bestFor": "Visionary leadership, brand positioning, mission statements",
          "matchId": "604ad8ff-b2cb-4f7f-bd6f-eb583fd391a1",
          "evidence": "The deck uses the golden circle framework to explain the what, how, and why of GPT-3 and NLP.",
          "position": 0,
          "objective": "Why should we care about GPT-3 and NLP?",
          "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
          "confidence": 0.7,
          "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 5,
          "from": 1,
          "beatId": "bfc10720-c292-42d4-a612-64530096e5a4",
          "arcName": "The Sparkline",
          "arcSlug": "sparkline",
          "beatName": "What Is",
          "beatSlug": "sparkline-what-is-1",
          "evidence": "The deck introduces GPT-3 and NLP, providing context and background information.",
          "position": 0,
          "confidence": 0.8,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
      "docSlug": "ff5d549e5027972a",
      "documentTitle": "GPT-3 and the actuarial landscape",
      "authorId": "OliverWyman",
      "authorName": "Oliver Wyman",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 6,
      "slideType": "timeline",
      "function": "present_framework",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/6",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-6",
      "loopMatches": [
        {
          "to": 10,
          "from": 5,
          "name": "Golden Circle",
          "slug": "11-golden-circle",
          "bestFor": "Visionary leadership, brand positioning, mission statements",
          "matchId": "604ad8ff-b2cb-4f7f-bd6f-eb583fd391a1",
          "evidence": "The deck uses the golden circle framework to explain the what, how, and why of GPT-3 and NLP.",
          "position": 0,
          "objective": "Why should we care about GPT-3 and NLP?",
          "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
          "confidence": 0.7,
          "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 16,
          "from": 6,
          "beatId": "d061c184-c7cd-4a92-b451-664f35ad62f3",
          "arcName": "The Sparkline",
          "arcSlug": "sparkline",
          "beatName": "What Is",
          "beatSlug": "sparkline-what-is-3",
          "evidence": "The deck delves deeper into the technical aspects of GPT-3 and NLP.",
          "position": 1,
          "confidence": 0.8,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
      "docSlug": "ff5d549e5027972a",
      "documentTitle": "GPT-3 and the actuarial landscape",
      "authorId": "OliverWyman",
      "authorName": "Oliver Wyman",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 7,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The slide highlights the convergence of data availability, hardware, software frameworks, and algorithmic innovation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/7",
      "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-7",
      "loopMatches": [
        {
          "to": 10,
          "from": 5,
          "name": "Golden Circle",
          "slug": "11-golden-circle",
          "bestFor": "Visionary leadership, brand positioning, mission statements",
          "matchId": "604ad8ff-b2cb-4f7f-bd6f-eb583fd391a1",
          "evidence": "The deck uses the golden circle framework to explain the what, how, and why of GPT-3 and NLP.",
          "position": 0,
          "objective": "Why should we care about GPT-3 and NLP?",
          "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
          "confidence": 0.7,
          "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 16,
          "from": 6,
          "beatId": "d061c184-c7cd-4a92-b451-664f35ad62f3",
          "arcName": "The Sparkline",
          "arcSlug": "sparkline",
          "beatName": "What Is",
          "beatSlug": "sparkline-what-is-3",
          "evidence": "The deck delves deeper into the technical aspects of GPT-3 and NLP.",
          "position": 1,
          "confidence": 0.8,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}