Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)
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Transcript of Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)
![Page 1: Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)](https://reader033.fdocuments.net/reader033/viewer/2022042801/58a93d7e1a28ab991c8b4759/html5/thumbnails/1.jpg)
Being Realistic About Artificial Intelligence
Tarun Gangwani // @tarungangwani
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Why are people talking about AI so much?
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Why are people talking about AI so much?
![Page 4: Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)](https://reader033.fdocuments.net/reader033/viewer/2022042801/58a93d7e1a28ab991c8b4759/html5/thumbnails/4.jpg)
Why are people talking about AI so much?
We have generated a shit ton of data.
![Page 5: Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)](https://reader033.fdocuments.net/reader033/viewer/2022042801/58a93d7e1a28ab991c8b4759/html5/thumbnails/5.jpg)
Why are people talking about AI so much?
We have generated a shit ton of data.
tweetstexts friends
likesposts
updates
shares
heartspictures
relationships
connections
retweets snaps reposts
blogs
triesliveviewers
facesnames
contacts
food reviews
metrics health
fitness
fitness
memes
posts
pokes
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What have we been doing with this data?
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Cloud computing has enabled our robot overlords.
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bot overlords.
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bot overlords.
![Page 10: Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)](https://reader033.fdocuments.net/reader033/viewer/2022042801/58a93d7e1a28ab991c8b4759/html5/thumbnails/10.jpg)
bot overlords.
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bot overlords.
![Page 12: Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)](https://reader033.fdocuments.net/reader033/viewer/2022042801/58a93d7e1a28ab991c8b4759/html5/thumbnails/12.jpg)
bot overlords.
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🔮
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predictive analytics🔮
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predictive analytics🔮
descriptive analytics📊
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using data to forecast the future🔮
📊 making sense of data we have
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20%🔮
80%📊
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🔮
📊
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🔮
📊
![Page 20: Being Practical About Artificial Intelligence (Forbes U30 Summit 2016)](https://reader033.fdocuments.net/reader033/viewer/2022042801/58a93d7e1a28ab991c8b4759/html5/thumbnails/20.jpg)
🔮 Top three reasons PA projects fail.
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Your data is bad.
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The end goal is not clear.
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The scope is too large.
With good data, a clear goal, and a narrow scope, you can harness predictive analytics to gain
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With good data, a clear goal, and a narrow scope, you can harness predictive analytics to gain critical business insights.
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Learn more at the Ideas Hub!
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