SUMMARY: While we spend a lot of time discussing AI models, we don’t always spend enough time on the challenges of managing the unstructured data used to train, tune, and enable those models.
SHOW: 1043
SHOW TRANSCRIPT: The Enterprise AI Show #1043 Transcript
SHOW VIDEO: https://youtu.be/OAqnuhorMJ4
SHOW SPONSORS:
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a bit about your background and where you focus today at Nasuni
Topic 2 - We’ve spent two years talking about models. Are we finally entering the era where the biggest differentiator is data quality rather than model quality?
Topic 3 - When customers inventory their AI-ready data, what surprises them most?
Topic 4 - Where is the intersection of file data, metadata, and RAG systems that augment a company’s AI experience with their own data?
Topic 5 - People talk about AI governance, but isn’t most AI governance actually data governance?
Topic 6 - Are today’s enterprise file systems designed for machine consumers (AI Agents) instead of human consumers?
Topic 7 - What are the economics of data, in your world, as it relates to AI?
Topic 8 - What’s next for enterprise file platforms?
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