BARC Webinar

Harnessing Unstructured Data for Agentic AI Context

July 9, 2026 4:30 pm

-

6:00 pm

CEST

| 10:30 am ET

Unstructured data is the #1 blind spot in AI. Join this webinar to learn the practical steps leaders take to make unstructured data discoverable, trustworthy, and production-ready, without compromising governance.

Register for the webinar and

  • get a reality check on unstructured-data readiness for AI.
  • learn about the highest-impact steps teams should prioritize now to make unstructured data truly AI-usable.
  • understand where the biggest gaps lie and how leading adopters close those gaps

Join over 10,000 annual webinar and event attendees. Benefit from our knowledge. Register now.

Sponsors

Further information

Organizations are awakening to the power of unstructured data and the rich context it provides to agentic AI. Our webinar explores the state of unstructured data preparation and governance for AI, with a focus on the practices of mature adopters.  We define what unstructured data is, why it matters, and how to tap its value for AI innovation.

What you’ll learn:

  • At what stage are organizations regarding critical AI planning/process initiatives
  • How to assess the AI readiness of unstructured data
  • What the main obstacles to success are with managing unstructured data for AI
  • Next steps to make files discoverable, governed, and usable for GenAI/agent use cases

 

Hosted by

Kevin Petrie
VP of Research at BARC US

Kevin Petrie is the VP of Research at BARC, where he leads the data management practice and writes about topics such as AI, data integration and data governance. For 30 years Kevin has deciphered what technology means to practitioners, as an industry analyst, instructor, marketer, services leader, and tech journalist.

Kevin built a data analytics services team for EMC Pivotal in the Americas and EMEA, and ran field training at the data integration software provider Attunity (now part of Qlik). A frequent public speaker and co-author of two books about data management, Kevin most loves teaching data and AI leaders about evolving strategies, tools and techniques to capitalize on the value of data.

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