Partnering to Achieve an Adaptive Workforce

Partnering to Achieve an Adaptive Workforce

Some organizations are winning in a pandemic by adapting to changing customer and market demands. We’ve provided adaptive workforces for a decade. Here’s what they look like.

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High-Quality Data — Challenge Accepted

High-Quality Data — Challenge Accepted

Data quality is clearly paramount for a successful AI project, but how difficult is it to achieve?

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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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Best Practices for Your AI Workforce [SlideShare]

Best Practices for Your AI Workforce [SlideShare]

Our latest SlideShare provides details on your workforce options and shares best practices for choosing your AI workforce.

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