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Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond

By Zhe Zhang | October 17, 2019

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Accelerate with purpose

By Walter Riviera | October 17, 2019

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The quest for high-quality data

By Ihab Ilyas | October 17, 2019

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Real-time AI for entity resolution

By Jeff Jonas | October 16, 2019

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The power of knowledge at scale

By Alexis Crowell Helzer | October 16, 2019

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Large-scale machine learning at Facebook: Implications of platform design on developer productivity

By Kim Hazelwood, Mohamed Fawzy | October 16, 2019

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Building and deploying AI applications and systems at scale

By Ben Lorica, Roger Chen | October 16, 2019

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Highlights from the Strata Data Conference in New York 2019

By Mac Slocum | September 27, 2019

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Delivering the enterprise data cloud

By Arun Murthy | September 26, 2019

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Data Science Pioneers: Conquering the next frontier, a documentary investigating the future of data science

By Jed Dougherty | September 26, 2019

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Postrevolutionary big data: Promoting the general welfare

By Barbara Eckman | September 26, 2019

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Say what? The ethical challenges of designing for humanlike interaction

By Jonathan Foster | September 26, 2019

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RL in real life: Bringing reinforcement learning to the enterprise

By Edward Jezierski | September 26, 2019

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Strata Data Awards winners 2019

September 26, 2019

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Staying safe in the AI era

By Cassie Kozyrkov | September 26, 2019

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Data sonification: Making music from the yield curve

By Alan Smith | September 26, 2019