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Object stores and artificial intelligence

NetApp and Object Storage Series

Session 2 of 3

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Abstract

In this session, we will look at where object storage fits into AI initiatives for providing long-term and scalable storage for a variety of data types for extraction and load in model construction, training, and verification to satisfy at-scale data environments required by AI models.

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Key takeaways

  • Need for object storage in AI environments
  • NetApp solution alternatives to help consolidate data silos and craft an overarching data strategy
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Other sessions

Check out other sessions in this series:

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Speaker bio by region

Meet the specialists ready to help simplify your data challenges. Expect to dive into real-world, industry-specific questions—they’re experts who love to talk shop.

AMER

Frank Holliman

Senior Architect, AI/ML, Analytics, DevOps

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