{
  "docId": "019dd923-5e88-73ef-bd5d-c276e85d51e3",
  "docSlug": "a31ffd211a1fe680",
  "documentTitle": "2018 Bond Cap Internet Trends 2018",
  "authorId": "BondCap",
  "authorName": "Mary Meeker",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.333,
  "pageNumber": 198,
  "pageCount": 295,
  "prevPage": 197,
  "nextPage": 199,
  "slideType": "industry_trends",
  "function": "present_framework",
  "density": "dense",
  "nDataPoints": 4,
  "notes": "The slide uses a circular flow diagram to explain the 'Data Flywheel' concept.",
  "elementsJson": [
    "headline_text",
    "process_diagram",
    "data_table",
    "screenshot",
    "logo_grid",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-c276e85d51e3/198",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-c276e85d51e3",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-c276e85d51e3.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-c276e85d51e3#slide-198",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "More Uploads = Lower Average Price",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-5640-7516-ae11-fbb75b1c79f7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.82,
        "x": 0.09,
        "y": 0.265
      },
      "kind": "framework",
      "text": "Data Flywheel cycle",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "af416d16-30cc-454a-a0cc-c413f806e213",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.35,
        "x": 0.13,
        "y": 0.81
      },
      "kind": "image",
      "text": "Customer logos: City of Orlando, C-SPAN, Pinterest",
      "attrs": null,
      "subkind": "logo-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7f1f5036-2cfb-4654-8a1e-3ac57d97488e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.33,
        "x": 0.57,
        "y": 0.395
      },
      "kind": "image",
      "text": "Amazon Rekognition accuracy improvement blog post",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a96fdffe-3261-495a-89c5-02794e5b589c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.33,
        "x": 0.57,
        "y": 0.775
      },
      "kind": "image",
      "text": "Amazon Rekognition feature announcement blog post",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f9640f58-435c-472a-a641-b82f39167bbb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.4,
        "x": 0.3,
        "y": 0.935
      },
      "kind": "source-note",
      "text": "Source: Amazon Artificial Intelligence on AWS Presentation (6/17). *Amazon Rekognition enables users to detect objects, people, text, scenes, and activities in their photos and videos using machine learning.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "772b9ce4-c04d-4282-9edc-13177c61a505",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.35,
        "x": 0.11,
        "y": 0.385
      },
      "kind": "table",
      "text": "Pricing tiers for image analysis",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "386f619d-8f0a-4334-8d46-06629228274d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.72,
        "x": 0.14,
        "y": 0.165
      },
      "kind": "title",
      "text": "AWS 'Data Flywheel' – Amazon Rekognition*",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a7db9184-20dd-433c-bd8f-353cfcb4272f",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Flywheel",
      "slug": "flywheel",
      "agent": null,
      "layer": "slide",
      "matchId": "55981238-3a4d-4486-a1f7-d604c03d837d",
      "evidence": "AWS 'Data Flywheel' – Amazon Rekognition",
      "confidence": 0.8
    }
  ],
  "frameworks": [
    {
      "name": "flywheel",
      "slug": null,
      "matchId": "3ed50f28-8938-4229-9c68-24ee1122bbf3",
      "evidence": "The slide explicitly labels the diagram as a 'Data Flywheel' and depicts a circular process of improvement.",
      "confidence": 1
    }
  ],
  "arcBeats": [
    {
      "to": 295,
      "from": 51,
      "beatId": "b9b70551-f8fb-4594-b90e-6e898c73b030",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Action",
      "beatSlug": "monroes-sequence-action",
      "evidence": "The report concludes with a call to action for internet companies to adapt to changing trends.",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}