Ideas | Data

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

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Circuitry

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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Flowers

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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Puzzle piece

The missing piece

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

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Skyline

Democratizing data

Tracy Teal explains how to bring people to data and empower them to address their questions.

Lady Justice

Doing good data science

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them.

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Basics

When to KISS

Zubin Siganporia explains how the KISS principle (“Keep It Simple, Stupid”) applies to solving problems and convincing end-users to adopt data-driven solutions to their challenges.

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Yin yang

Machine learning: Research & industry

Having worked in both research and industry, Mikio Braun shares insights into what's the same, what's different, and how deep learning might change the game.