{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 1321, "pageSize": 30, "pageCount": 10666, "rows": [ { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 6, "slideType": "key_takeaways", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/6", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-6", "loopMatches": [ { "to": 9, "from": 2, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "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": 9, "from": 1, "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 7, "slideType": "key_takeaways", "function": "summarize", "notes": "The slide uses a three-column layout to present key findings from an Ipsos AI Monitor survey.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/7", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-7", "loopMatches": [ { "to": 9, "from": 2, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "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": 9, "from": 1, "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 8, "slideType": "key_takeaways", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/8", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-8", "loopMatches": [ { "to": 9, "from": 2, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "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": 9, "from": 1, "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 9, "slideType": "industry_trends", "function": "summarize", "notes": "Slide contains three distinct thematic columns with icons.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/9", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-9", "loopMatches": [ { "to": 9, "from": 2, "name": "So What Cascade", "slug": "41-so-what-cascade", "bestFor": "Data presentations, executive summaries, driving to recommendations", "matchId": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "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": 9, "from": 1, "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 10, "slideType": "section_divider", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/10", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-10", "loopMatches": [], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 11, "slideType": "data_table", "function": "analyze_data", "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/11", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-11", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 12, "slideType": "data_table", "function": "analyze_data", "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/12", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-12", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 13, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 'Agree' percentages in dark blue bars and 'Disagree' percentages in light blue bars, sorted by agreement level.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/13", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-13", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 14, "slideType": "data_table", "function": "analyze_data", "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/14", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-14", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 15, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries plus a global average.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/15", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-15", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 16, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/16", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-16", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 17, "slideType": "competitive_analysis", "function": "compare_peers", "notes": "The chart uses geographic clustering (Anglosphere, Europe, Asia) to segment countries by sentiment.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/17", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-17", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 18, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries plus a global average, with a final column showing 'Agree / 23' (likely a previous year's data).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/18", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-18", "loopMatches": [ { "to": 18, "from": 11, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 75, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 19, "slideType": "section_divider", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/19", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-19", "loopMatches": [], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 20, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (teal) percentages for each country, with a final column showing 'Agree / 23' (likely a comparison to 2023 data).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/20", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-20", "loopMatches": [ { "to": 26, "from": 20, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 80, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 21, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays a global average followed by individual country data, sorted by net agreement score.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/21", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-21", "loopMatches": [ { "to": 26, "from": 20, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 80, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 22, "slideType": "data_table", "function": "analyze_data", "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/22", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-22", "loopMatches": [ { "to": 26, "from": 20, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 80, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 23, "slideType": "data_table", "function": "analyze_data", "notes": "The chart uses a diverging bar structure where the 'Agree' portion is dark blue and the 'Disagree' portion is light blue.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/23", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-23", "loopMatches": [ { "to": 26, "from": 20, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 80, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 24, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 32 countries plus a global average. The bars represent the percentage of respondents who agree (dark blue) vs disagree (light blue).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/24", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-24", "loopMatches": [ { "to": 26, "from": 20, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 80, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 25, "slideType": "data_table", "function": "analyze_data", "notes": "The metric is calculated as (% trust AI not to discriminate) minus (% trust people not to discriminate).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/25", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-25", "loopMatches": [ { "to": 26, "from": 20, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 80, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 26, "slideType": "data_table", "function": "analyze_data", "notes": "Data source: Ipsos AI Monitor, 2024.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/26", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-26", "loopMatches": [ { "to": 26, "from": 20, "name": "Tale Two Worlds", "slug": "04-tale-two-worlds", "bestFor": "Competitive analysis, benchmarking, case for change", "matchId": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "confidence": 80, "description": "Show the gap between two states to drive urgency or highlight opportunity" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 27, "slideType": "section_divider", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/27", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-27", "loopMatches": [], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 28, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/28", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-28", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 29, "slideType": "data_table", "function": "analyze_data", "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/29", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-29", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 30, "slideType": "data_table", "function": "analyze_data", "notes": "The chart uses a diverging color palette to represent sentiment intensity. Data source: Ipsos AI Monitor.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/30", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-30", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 31, "slideType": "data_table", "function": "analyze_data", "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/31", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-31", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 32, "slideType": "data_table", "function": "analyze_data", "notes": "The chart uses a diverging stacked bar format to visualize survey responses.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/32", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-32", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 33, "slideType": "data_table", "function": "analyze_data", "notes": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/33", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-33", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 34, "slideType": "data_table", "function": "analyze_data", "notes": "The chart is sorted by the 'Better' category in descending order.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/34", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-34", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "docSlug": "c06b233841368987", "documentTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "industry_analyst", "sourceTypeLabel": "Industry analyst", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 35, "slideType": "data_table", "function": "analyze_data", "notes": "The chart uses a diverging stacked bar approach to show sentiment (Better, Stay the same, Worse).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/35", "deckHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchorHref": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-35", "loopMatches": [ { "to": 40, "from": 28, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "confidence": 65, "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories" } ], "arcBeatMatches": [ { "to": 40, "from": 10, "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }