What's on our radar.

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The Amazon Go store at Day One, Seattle, Washington

AI and machine learning at Amazon

Ian Massingham discusses the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding.

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AI for a better world

Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.

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Why marketing matters

Michael Bernstein offers an unflinching look at some of the fallacies that developers believe about marketing.

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The programmer's mind

Jessica McKellar draws parallels between the free and open source software movement and the work to end mass incarceration.

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Quantifying forgiveness

Julia Angwin discusses what she's learned about forgiveness from her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future.

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The data imperative

Ben Sharma shares how the best organizations immunize themselves against the plague of static data and rigid process

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Puzzle piece

The missing piece

Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement.

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The power of Ethereum

Joseph Lubin explains how Ethereum can help with new innovations like cryptocurrencies, automated and self-executing legal agreements, and self-sovereign identity.

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Clouds reflected

Machine learning in the cloud

Hagay Lupesko explores key trends in machine learning, the importance of designing models for scale, and the impact that machine learning innovation has had on startups and enterprises alike.