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          "description": "Context → Conflict → Insight → Implication structure for data narratives",
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        "evidence": "The breakthroughs in natural language processing highlighted in the Research section of this report are starting to be applied to industries where there are either large amounts of text to be process",
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          "description": "The moment when the audience realizes the value - design for insight revelation",
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        "evidence": "Mike Cannon-Brookes is a computer scientist at the University of New South Wales.[1] Mike Cannon-Brookes is the co-CEO and co-founder of Australian software company Atlassian.[2]",
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          "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.",
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          "categoryName": "Loop",
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        "agents": [
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        "evidence": "Identical twins have very different responses to the same foods. ML predictions of glucose response two hours after meal consumption correlate 73% of the time with actual measured responses.",
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        "evidence": "Callout: 'still very early days for monetising hosted AI services'.",
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      "Rewrite section dividers as argument pillars, such as technical progress is accelerating but bottlenecked by compute, data, and governance, instead of neutral section labels.",
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          "text": "Congratulations on making it to the end of the State of AI Report 2019! Thanks for reading. In this report, we set out to capture a snapshot of the exponential progress in the field of machine learning, with a focus on developments in the past 12 months. We believe that AI will be a force multiplier on technological progress in our world, and that wider understanding of the field is critical if we are to navigate such a huge transition. We tried to compile a snapshot of all the things that caught our attention in the last year across the range of machine learning research, commercialisation, talent and the emerging politics of AI. We would appreciate any and all feedback on how we could improve this report further. Thanks again for reading!",
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