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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.

Get your data ready for AI

Tell us what data you have and where it lives. We'll set it up on the platform, run by your team, ours, or both — and deliver it versioned, in your format.

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