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Data

Our take on the ideas, information, and tools that make data work.

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Quantum Computing without the Hype

By Mike Loukides | May 10, 2022

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Recommendations for all of us

By Chris Butler | March 10, 2022

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Epstein Barr and the Cause of Cause

By Mike Loukides | March 8, 2022

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What Is Causal Inference?

By Hugo Bowne-Anderson, Mike Loukides | January 18, 2022

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Remote Teams in ML/AI

By Q McCallum | November 9, 2021

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2021 Data/AI Salary Survey

By Mike Loukides | September 15, 2021

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Rebranding Data

By Q McCallum | August 24, 2021

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A Way Forward with Communal Computing

By Chris Butler | August 17, 2021

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Hand Labeling Considered Harmful

By Shayan Mohanty, Hugo Bowne-Anderson | June 23, 2021

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NFTs: Owning Digital Art

By Mike Loukides | April 6, 2021

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5 things on our data and AI radar for 2021

February 19, 2021

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Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science

By Matthew Rocklin, Hugo Bowne-Anderson | August 18, 2020

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Governance and Discovery

By Mike Loukides | April 6, 2020

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Machine learning for operational analytics and business intelligence

By Ben Lorica | October 10, 2019
Machine learning for operational analytics and business intelligence
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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