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Webinar

Navigating AI Data Complexity with Sandia National Laboratories

How a pipeline built for AI data catches errors early and cuts data preparation from months to weeks. Hosted by Carahsoft with Google Cloud.

Highlights

Key moments

  1. 5:30

    AI data pipeline complexity

    How a pipeline purpose-built for AI data detects errors early and leads to greater efficiency.

  2. 12:00

    Time savings

    Cutting AI data preparation from months to weeks and days.

  3. 18:00

    Virtuous cycles

    Improving data quality through speed, algorithms, and successive iterations.

  4. 35:00

    Keeping data safe

    How MLtwist, on Google Cloud, keeps data safe where security is key.

Read the full story in the Sandia case study.

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Also available through Carahsoft and Google Cloud Marketplace.