{
  "docId": "019dd923-605c-759f-b6b2-20dfed71ff5d",
  "docSlug": "bi-f0c242eb2eadbf4a",
  "documentTitle": "The pitch deck machine-learning firm Galileo used to raise $18 million",
  "authorId": "Pitchdecks",
  "authorName": "Galileo",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.784,
  "pageNumber": 4,
  "pageCount": 12,
  "prevPage": 3,
  "nextPage": 5,
  "slideType": "pain_points",
  "function": "frame_problem",
  "density": "overcrowded",
  "nDataPoints": 0,
  "notes": "Uses a 'Before-After-Bridge' style framing where the 'Before' is the current painful state of manual data debugging.",
  "elementsJson": [
    "headline_text",
    "action_title",
    "paragraph",
    "screenshot",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-605c-759f-b6b2-20dfed71ff5d/4",
  "deckHref": "/decks/019dd923-605c-759f-b6b2-20dfed71ff5d",
  "deckJsonHref": "/decks/019dd923-605c-759f-b6b2-20dfed71ff5d.json",
  "deckAnchorHref": "/decks/019dd923-605c-759f-b6b2-20dfed71ff5d#slide-4",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Harmful model predictions in production (garbage in - garbage out)",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-cb18-702b-89ca-b31e2ddfcdf6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.3,
        "x": 0.35,
        "y": 0.4
      },
      "kind": "image",
      "text": "Screenshots of Excel and Python code",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f354784c-9960-4250-8324-29f151eb5296",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.25,
        "x": 0.05,
        "y": 0.3
      },
      "kind": "list",
      "text": "ML practitioners feel the pain",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3bbffc7a-e611-4277-b381-24730b6b1ef7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.25,
        "x": 0.7,
        "y": 0.3
      },
      "kind": "list",
      "text": "Result of ad-hoc tooling",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8ae0309f-4b3c-4c05-ac17-492a7c967eb3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.25,
        "x": 0.7,
        "y": 0.4
      },
      "kind": "list",
      "text": "Harmful model predictions in production (garbage in - garbage out)\nBias and non-compliance issues go unnoticed\nVery slow model productionization cycles",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9658e0b8-28f3-4ab2-8f9e-cfd465f3f688",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.25,
        "x": 0.35,
        "y": 0.3
      },
      "kind": "list",
      "text": "Today's ML Data Tooling",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ce63cd29-203f-425c-a0ec-b91641c3c58c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.25,
        "x": 0.05,
        "y": 0.8
      },
      "kind": "paragraph",
      "text": "My team knows that digging into the data is critical for effective ML, but it's slow and not fun.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1c3d6d13-8637-44f9-9d07-034d8d338614",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.25,
        "x": 0.05,
        "y": 0.4
      },
      "kind": "paragraph",
      "text": "Rummaging through excel sheets to find data patterns where my model under performed is most of what I really do",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c73dd642-069b-4d9b-9dd2-81b206caedc2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.25,
        "x": 0.05,
        "y": 0.6
      },
      "kind": "paragraph",
      "text": "Almost every ML practitioner has been bitten by weeks of soul-sucking data debugging",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e4499059-a5f5-45a1-9d9a-8a08c9cf4622",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.9,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Yet, ML data quality is the largest impediment to enterprise ML today",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a68ea218-0b39-45d7-8809-39bb54719679",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "before-after-bridge",
      "slug": null,
      "matchId": "13f25bbd-c6bc-43b7-9978-ebea47ac5b0e",
      "evidence": "Contrasts current painful manual processes with the negative outcomes of ad-hoc tooling.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [
    {
      "to": 4,
      "from": 2,
      "beatId": "4313a81e-7f90-4c4a-99d8-a2c42c887fcd",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Problem",
      "beatSlug": "problem-agitate-solution-problem-identify-pain",
      "evidence": "Slides 2-4 identify the problem",
      "position": 0,
      "confidence": 0.9,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    },
    {
      "to": 5,
      "from": 4,
      "beatId": "12bd29df-709a-4d3e-80f7-8cbc8d87f1aa",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Agitation",
      "beatSlug": "problem-agitate-solution-agitate-make-it-worse",
      "evidence": "Slides 4-5 agitate the problem",
      "position": 1,
      "confidence": 0.9,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 5,
      "from": 4,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "5c2dbacd-8ce8-4cf7-aab1-9e6354ad3fbc",
      "evidence": "Slides 4-5 imply the costs",
      "position": 0,
      "objective": "What are the costs of poor data quality?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.7,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}