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As lists are the raw material of strategy and technology architecture, MECE list-making is one of the most useful tools you can have in your tool box.
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Yangqing Jia talks about what makes AI software unique and its connections to conventional computer science wisdom.
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Ian Massingham discusses the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding.
Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.
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Jonathan Ballon explains why Intel’s AI and computer vision edge technology will drive advances in machine learning and natural language processing.
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Our bad AI could be the best tool we have for understanding how to be better people.
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Jessica McKellar draws parallels between the free and open source software movement and the work to end mass incarceration.
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Francesc Campoy Flores explores ways machine learning can help developers be more efficient.
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Laurent Gil shares the latest cybersecurity research findings based on real-world security operations.
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Anil Dash asks: How could our processes and tools be designed to undo the biggest bugs and biases of today’s tech?
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The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness.
The World Economic Forum’s 2018 jobs report limits research to a narrow range of the workforce.
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