How to organize machine learning teams

How to organize machine learning teams

Optimize ML team structure: Discover 2 common approaches, their pros and cons, and learn to choose the right one for your organization.

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Seeing the Big Picture with Your AI Data

Seeing the Big Picture with Your AI Data

Achieving a high level of accuracy in data labeling is vital. This concept can be understood if we think about a mural of Rubik’s Cubes®.

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How to Solve the Specialization Challenge

How to Solve the Specialization Challenge

Any problem (like a Rubik’s cube®) is solvable with a documented process.

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What You Need to Know to Solve Your Data Puzzle

What You Need to Know to Solve Your Data Puzzle

How solving a Rubik’s cube® is like labeling your unstructured data.

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When and Why AI Projects Fail (And How to Avoid It)

When and Why AI Projects Fail (And How to Avoid It)

Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.

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