{
  "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
  "docSlug": "bf350dd574c19997",
  "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
  "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": 5,
  "pageCount": 188,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "other",
  "function": "establish_context",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "This slide provides foundational definitions for the rest of the report.",
  "elementsJson": [
    "paragraph"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/5",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-5",
  "components": [
    {
      "bbox": {
        "h": 0.68,
        "w": 0.96,
        "x": 0.02,
        "y": 0.21
      },
      "kind": "list",
      "text": "Artificial intelligence (AI): A broad discipline with the goal of creating intelligent machines, as opposed to the natural intelligence that is demonstrated by humans and animals. It has become a somewhat catch all term that nonetheless captures the long term ambition of the field to build machines that emulate and then exceed the full range of human cognition.\n\nMachine learning (ML): A subset of AI that often uses statistical techniques to give machines the ability to \"learn\" from data without being explicitly given the instructions for how to do so. This process is known as \"training\" a \"model\" using a learning \"algorithm\" that progressively improves model performance on a specific task.\n\nReinforcement learning (RL): An area of ML concerned with developing software agents that learn goal-oriented behavior by trial and error in an environment that provides rewards or penalties in response to the agent's actions (called a \"policy\") towards achieving that goal.\n\nDeep learning (DL): An area of ML that attempts to mimic the activity in layers of neurons in the brain to learn how to recognise complex patterns in data. The \"deep\" in deep learning refers to the large number of layers of neurons in contemporary ML models that help to learn rich representations of data to achieve better performance gains.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "43b35f8d-e715-4f64-b225-e27f8a30632a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.13,
        "x": 0.02,
        "y": 0.14
      },
      "kind": "title",
      "text": "Definitions",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f4cf2571-e372-43d2-8cbb-4c3b377d9344",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 152,
      "from": 5,
      "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": "triple-take-the-facts-what",
      "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
      "position": 1,
      "confidence": 78,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    },
    {
      "to": 9,
      "from": 1,
      "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
      "arcName": "The Mountain",
      "arcSlug": "mountain",
      "beatName": "Setup & Stakes",
      "beatSlug": "mountain-setup-stakes",
      "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
      "position": 1,
      "confidence": 55,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}