Most organisations are sitting on years’ worth of untapped knowledge buried in file shares, SharePoint sites, and collaboration tools. As generative AI becomes more embedded in day-to-day work, the big question is no longer whether AI can help, but whether your file data is ready for it. This session looks at how understanding and classification work differently for this type of data compared with structured database data, why traditional classification often falls short, and what specific considerations and techniques are needed for this domain. We’ll also explore what needs to change to make this information truly AI-ready. Modern discovery and classification approaches can help you identify what’s suitable for AI to access, what should be restricted, and where hidden risks may sit. Join us to unpack how developing a clearer understanding of your file data not only reduces risk but also surfaces valuable insight that has gone unnoticed for years. About Allan: Allan Watkins is a Principal Consultant at Nephos Technologies, a consultancy-led data services integrator and provider. With more than 26 years of experience spanning enterprise environments and complex data landscapes, he plays a key role in shaping and delivering Nephos’ consultancy engagements across data governance, management, and compliance. Allan’s career is driven by a deep-rooted passion for understanding how things work. This curiosity underpins his approach to helping organisations untangle the intricate policies, processes, and frameworks that sit at the core of effective data governance. Combining broad technical knowledge with a pragmatic, problem-solving outlook, Allan supports organisations in translating data governance challenges into practical action, ensuring policies not only make sense on paper but work in practice and drive meaningful outcomes.

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11:30 - 12:00 hs GMT+1

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DAMA UK
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