Harnessing Unstructured Data for Agentic AI Context
In this on-demand BARC webinar, Kevin Petrie, VP of Research at BARC US, and Kyle DuPont, CEO of DataXray, discuss how to govern the files AI depends on and make them ready for it. They draw on BARC's 2026 research across 225 data leaders to show where readiness stands and which gaps to close first.
What Kevin and Kyle cover
BARC found that 79% of organisations say they can extract value from unstructured data safely, but only 29% can find the right files for a given use case. The session covers what that gap costs and how the organisations ahead of it sequence the work.
Close the board-level gapKnowing which side of the gap you sit on lets you commit to an AI roadmap you can defend, instead of discovering the shortfall halfway through a board-sponsored rollout.
Stop pilots stalling at scaleA pilot that works on 200 curated files falls apart across 20,000 SharePoint sites, because retrieval rarely returns the right chunk. A context layer fixes that without another platform bill.
Say yes to the business74% still govern unstructured data by hand, which makes IT look like the bottleneck. Automating classification and access at file level gets business units approved in days.
Sequence spend correctlyOnly 17% are vectorising, and the leaders start with classification and validation. An agent that knows what a file is does much of the retrieval work itself.
Who you'll hear from
Kevin Petrie
VP of Research, BARC USKevin leads the data management practice at BARC, writing on AI, data integration and data governance. For 30 years he has worked out what technology means for practitioners, as an industry analyst, instructor, services leader and tech journalist, and he has co-authored two books on data management.
Kyle DuPont
CEO, DataXrayKyle co-founded the company after watching enterprise after enterprise hit the same wall on AI: the documents, emails and contracts AI needs were the files no tool could open, read or classify. He works with financial institutions, government agencies and defence organisations to bring that data into view.
Agentic AI runs on context
“Unstructured data in my view holds the key to creating a differentiated version of agentic AI. Trustworthy facts come from tables in a lot of cases, but the nuance, the true context, comes from unstructured data.” Kevin Petrie, VP of Research, BARC US.
Your context is in your files. Watch the session for what it takes to get to it.
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