Object stores and artificial intelligence
NetApp and Object Storage Series
Session 2 of 3
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.
Key takeaways
- Need for object storage in AI environments
- NetApp solution alternatives to help consolidate data silos and craft an overarching data strategy
Other sessions
Check out other sessions in this series:
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
EBC Solution Series
Learn, collaborate, and engage with NetApp experts and industry peers on topics ranging from high-level cloud services overviews to technical deep dives, such as Ansible workshops.
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