{
  "docId": "019dd923-5de0-76bd-a167-d97b47181c2f",
  "docSlug": "df6f7ffbb24bfbd2",
  "documentTitle": "Banking: The future is back",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 40,
  "pageCount": 48,
  "prevPage": 39,
  "nextPage": 41,
  "slideType": "key_messages",
  "function": "summarize",
  "density": "dense",
  "nDataPoints": 0,
  "notes": null,
  "elementsJson": [
    "paragraph",
    "quote_block",
    "photo"
  ],
  "metadataConfidence": 0.9,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-d97b47181c2f/40",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-d97b47181c2f",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-d97b47181c2f.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-d97b47181c2f#slide-40",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "The technology's proficiency in code regeneration is advancing steadily, and confidence is growing that it could eventually be the most efficient and safest way of developing new software.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a674-768f-a06e-197c84b420c7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.59,
        "x": 0.41,
        "y": 0.55
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e88726db-3461-4763-85c7-0b06b5cfaa9e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.46,
        "w": 0.35,
        "x": 0.075,
        "y": 0.203
      },
      "kind": "paragraph",
      "text": "The effect of this will be felt not only in banks’ technology. It is likely also to change the skills that are in greatest demand in their IT divisions—fewer programmers will be needed, while the demand for product engineers and other AI-focused specialists will soar. Increasingly, as banks’ basic IT maintenance tasks are automated, their IT experts are likely to play a more valuable role. By working more closely with the bank’s product leaders, the roles of technology leader and business leader will blend together into a closely-knit partnership that enables new offerings and revenue streams to be engineered at a pace we can now only imagine.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "476c2797-3473-4d1a-8696-5d4c498999ba",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.338,
        "w": 0.417,
        "x": 0.508,
        "y": 0.203
      },
      "kind": "paragraph",
      "text": "Code translation is just one of the many use cases where generative AI is expected to distinguish itself. But for banks and other process-intensive businesses, the impact is likely to be profound. The technology’s proficiency in code regeneration is advancing steadily, and confidence is growing that it could eventually be the most efficient and safest way of developing new software. It won’t be long before the decades-old lament about technical debt, like the slide rule, will be a thing of the past.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9b655825-13c1-471a-a6e4-5f1f2b9beb83",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.3,
        "x": 0.075,
        "y": 0.53
      },
      "kind": "quote",
      "text": "Thomas Dohmke, the CEO of GitHub, said in February last year that almost half of the code produced by users of its programming tool Copilot was generated by AI.44",
      "attrs": null,
      "subkind": "testimonial",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6c87b72c-f181-428f-b2d3-d92a8ec8e7d1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "quote",
      "text": "Thomas Dohmke, the CEO of GitHub, said in February last year that almost half of the code produced by users of its programming tool Copilot was generated by AI.",
      "attrs": null,
      "subkind": null,
      "toolName": "Authority citation",
      "toolSlug": "authority-citation",
      "confidence": null,
      "componentId": "019dd951-a674-768f-a06e-1ee77bcadbed",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0bbb-77da-b1d8-70e94be75d51",
      "evidence": "Title: 'The effect of this will be felt not only in banks' technology'",
      "confidence": 70
    },
    {
      "name": "Core Message Extraction",
      "slug": "core-message-extraction",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "fdf8019b-979b-4238-873c-6f1513ac94ed",
      "evidence": "The effect of this will be felt not only in banks’ technology",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 45,
      "from": 6,
      "beatId": "019dd95a-0680-7418-8209-303a18385e57",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Ten trend chapters with charts/data and 'so what' action titles",
      "position": 2,
      "confidence": 88,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    },
    {
      "to": 45,
      "from": 38,
      "beatId": "019dd95a-0680-7418-8209-46547984dd73",
      "arcName": "Voyage and Return",
      "arcSlug": "voyage-return",
      "beatName": "The Return",
      "beatSlug": "voyage-return-the-return",
      "evidence": "Trends 9-10 modernize legacy code and platforms — back to fundamentals",
      "position": 4,
      "confidence": 62,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 41,
      "from": 38,
      "name": "Pivot",
      "slug": "17-pivot",
      "bestFor": "Project updates, board meetings, agile retrospectives",
      "matchId": "019dd95a-07fd-712f-b772-e726fe504759",
      "evidence": "Divider 'Traditional coding fades into the past'; p.39 spaghetti-code metaphor; p.41 says all banks will use GenAI for app dev",
      "position": 10,
      "objective": "Pivot from human-written to AI-generated code",
      "structure": "The Original Hypothesis -> The New Discovery -> The Strategic Shift",
      "confidence": 78,
      "description": "Validate a change in direction by showing it is a reaction to new intelligence, not failure"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}