{
  "docId": "019dd923-5e88-73ef-bd5c-f341d4394195",
  "docSlug": "46f66c49fd159048",
  "documentTitle": "2018 Air Street Capital The State of AI Report 2018",
  "authorId": "AirStreetCapital",
  "authorName": "Air Street Capital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 92,
  "pageCount": 156,
  "prevPage": 91,
  "nextPage": 93,
  "slideType": "industry_trends",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 0,
  "notes": null,
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "logo_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f341d4394195/92",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f341d4394195",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-f341d4394195.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f341d4394195#slide-92",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Where and how is machine learning being used effectively?",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-41ac-7180-a814-0290c32125d6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.35,
        "x": 0.08,
        "y": 0.6
      },
      "kind": "image",
      "text": "Ocado, Zalando",
      "attrs": null,
      "subkind": "logo-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "158504fa-8035-442e-b5a9-884da4dc6eb9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.85,
        "x": 0.08,
        "y": 0.35
      },
      "kind": "image",
      "text": "Amazon Robotics, 6 River Systems, GreyOrange, RightHand Robotics, JD.com",
      "attrs": null,
      "subkind": "logo-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1ef8cad7-c317-4c8f-9ee8-c13330164e9a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.65,
        "x": 0.05,
        "y": 0.28
      },
      "kind": "list",
      "text": "Robotics: Using robots and drones for picking, packing, inventory inspection.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "15945184-8494-44a2-94e3-74582bf8669c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.07,
        "w": 0.85,
        "x": 0.05,
        "y": 0.48
      },
      "kind": "list",
      "text": "Warehouse management systems: Using machine learning within warehouse management software to optimise inventory, order picking and queues to minimise waste.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d164579c-167d-4c35-b3bc-b1f7bd8f26ad",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.45,
        "x": 0.03,
        "y": 0.22
      },
      "kind": "paragraph",
      "text": "Where and how is machine learning being used effectively?",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4c592b6d-e0c6-4149-aab9-5ae1837008e1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.25,
        "x": 0.03,
        "y": 0.14
      },
      "kind": "title",
      "text": "Warehouse automation",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3ad8086a-c829-484e-a6e1-8698031138c2",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "List presentation",
      "slug": "list-presentation",
      "agent": null,
      "layer": "slide",
      "matchId": "2b09dfec-b6c0-4a16-b5e9-ee68bf7a6997",
      "evidence": "Warehouse management systems: Using machine learning within warehouse management software to optimise inventory, order picking and queues to minimise waste.",
      "confidence": 0.8
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 150,
      "from": 70,
      "beatId": "019dd95a-0682-776c-8e34-b35a0f5ce04f",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Industry applications and political/labor consequences across verticals and geographies.",
      "position": 2,
      "confidence": 78,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    },
    {
      "to": 108,
      "from": 56,
      "beatId": "019dd95a-0682-776c-8e34-c00b5f60e426",
      "arcName": "The Onion",
      "arcSlug": "onion",
      "beatName": "Deeper Layer",
      "beatSlug": "onion-deeper-layer",
      "evidence": "Talent and industry deployment across verticals.",
      "position": 3,
      "confidence": 55,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 108,
      "from": 86,
      "name": "Pattern Hunter",
      "slug": "02-pattern-hunter",
      "bestFor": "Time-pressed audiences, building consensus, when data is strong",
      "matchId": "019dd95a-07fe-70ce-8d3c-7a42bb8ead28",
      "evidence": "Parallel mini case studies: satellite, cybersec, warehouses, blue collar, agriculture, autonomy, finance, enterprise, materials.",
      "position": 14,
      "objective": "Catalogue vertical AI deployment evidence",
      "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
      "confidence": 72,
      "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}