{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 69, "pageSize": 18, "pageCount": 17777, "rows": [ { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 20, "slideType": "client_example", "function": "illustrate_case", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/20", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-20", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 21, "slideType": "key_takeaways", "function": "summarize", "notes": "Success Factor 02. Mentions 'Achievers', 'Builders', 'Innovators', and 'Experimenters' as segments.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/21", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-21", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 22, "slideType": "client_example", "function": "illustrate_case", "notes": "The slide uses a mix of narrative case studies and a prominent callout metric to support the thesis of proactive talent development.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/22", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-22", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 23, "slideType": "key_messages", "function": "summarize", "notes": "Part of a series on AI maturity; mentions 'Achievers' as a specific segment.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/23", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-23", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 24, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses narrative case studies to illustrate the benefits of AI adoption.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/24", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-24", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 25, "slideType": "key_messages", "function": "summarize", "notes": "Success Factor 04 in a series.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/25", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-25", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 26, "slideType": "client_example", "function": "illustrate_case", "notes": "The slide uses a purple gradient background with a callout box containing the key statistic.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/26", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-26", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 27, "slideType": "client_example", "function": "illustrate_case", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/27", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-27", "loopMatches": [ { "to": 27, "from": 17, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-483bc3c6386e", "evidence": "Five distinct recommendation categories (sponsor / talent / AI core / responsible / invest) each with case study", "position": 5, "objective": "Five MECE recommendations to become an Achiever", "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" } ], "arcBeatMatches": [ { "to": 27, "from": 17, "beatId": "019dd95a-0682-776c-8e32-7e8c761f9fc5", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "Five recommendations to master AI maturity, each with case study", "position": 3, "confidence": 90, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 28, "slideType": "thesis_headline", "function": "summarize", "notes": "This is a 'hero' or 'transition' slide using a dramatic image to emphasize a key finding.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/28", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-28", "loopMatches": [ { "to": 31, "from": 28, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dd95a-07fe-70ce-8d3a-4ee1c0546ad8", "evidence": "p28 vision stat, p30 mantra quote, p31 sample C-suite assessment questions", "position": 6, "objective": "Drive from finding to assessment action", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "confidence": 70, "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion" } ], "arcBeatMatches": [ { "to": 31, "from": 28, "beatId": "019dd95a-0682-776c-8e32-8716c65168b1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "Vision (12% to 27% by 2024) plus C-suite assessment questions", "position": 5, "confidence": 90, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 29, "slideType": "section_divider", "function": "transition", "notes": "The slide uses a metaphor of pottery to represent the development process.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/29", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-29", "loopMatches": [ { "to": 31, "from": 28, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dd95a-07fe-70ce-8d3a-4ee1c0546ad8", "evidence": "p28 vision stat, p30 mantra quote, p31 sample C-suite assessment questions", "position": 6, "objective": "Drive from finding to assessment action", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "confidence": 70, "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion" } ], "arcBeatMatches": [ { "to": 31, "from": 28, "beatId": "019dd95a-0682-776c-8e32-8716c65168b1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "Vision (12% to 27% by 2024) plus C-suite assessment questions", "position": 5, "confidence": 90, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 30, "slideType": "key_messages", "function": "summarize", "notes": "Includes a testimonial from a Walgreens Boots Alliance executive.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/30", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-30", "loopMatches": [ { "to": 31, "from": 28, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dd95a-07fe-70ce-8d3a-4ee1c0546ad8", "evidence": "p28 vision stat, p30 mantra quote, p31 sample C-suite assessment questions", "position": 6, "objective": "Drive from finding to assessment action", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "confidence": 70, "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion" } ], "arcBeatMatches": [ { "to": 31, "from": 28, "beatId": "019dd95a-0682-776c-8e32-8716c65168b1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "Vision (12% to 27% by 2024) plus C-suite assessment questions", "position": 5, "confidence": 90, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 31, "slideType": "diagnosis", "function": "diagnose", "notes": "The slide uses a structured table to categorize diagnostic questions, serving as a maturity assessment framework.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/31", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-31", "loopMatches": [ { "to": 31, "from": 28, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dd95a-07fe-70ce-8d3a-4ee1c0546ad8", "evidence": "p28 vision stat, p30 mantra quote, p31 sample C-suite assessment questions", "position": 6, "objective": "Drive from finding to assessment action", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "confidence": 70, "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion" } ], "arcBeatMatches": [ { "to": 31, "from": 28, "beatId": "019dd95a-0682-776c-8e32-8716c65168b1", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "Vision (12% to 27% by 2024) plus C-suite assessment questions", "position": 5, "confidence": 90, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 32, "slideType": "team_bio", "function": "other", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/32", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-32", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 33, "slideType": "appendix", "function": "other", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/33", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-33", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 34, "slideType": "appendix_methodology", "function": "summarize", "notes": "Survey of 1,615 executives from large organizations ($1B+ revenue) conducted Aug-Sept 2021.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/34", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-34", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 35, "slideType": "appendix_methodology", "function": "appendix", "notes": "Describes the statistical approach (Lasso model, K-fold cross-validation) and data sources (survey, interviews, case studies).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/35", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-35", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 36, "slideType": "appendix_methodology", "function": "summarize", "notes": "This slide outlines the research methodology for a study on AI maturity and performance.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/36", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-36", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b633-7a814d47b8dd", "docSlug": "4d3687fa691fcd8b", "documentTitle": "The art of AI maturity Advancing from practice to performance", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 37, "slideType": "initiative_list", "function": "summarize", "notes": "The slide lists 10 points, though the numbering is slightly non-sequential in visual layout. It outlines strategic and operational requirements for AI.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b633-7a814d47b8dd/37", "deckHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-7a814d47b8dd#slide-37", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }