is your data ready for ai?
AI is not magic. It is math and math only works with the right ingredients. This session cuts through the hype and looks at the often ignored reality behind successful AI: disciplined data management.
what is it about
In this interactive, discussion driven session, Ronald Baan explores why data does not simply exist but needs to be actively created, maintained, and governed to be fit for purpose. Together, participants examine how organizations end up with a chaotic “data swamp” and what practical steps are needed to turn it into a clean, reliable environment ready for insight and AI use.
Using relatable metaphors and real world scenarios, the session focuses on data quality, metadata, ownership, and governance as the non negotiable foundations for AI. Expect an open environment where assumptions are challenged and risks are openly discussed.
during the session, participants will:
Diagnose their own data swamp by identifying redundant, obsolete, and trivial data
Apply data “hygiene rules” by defining ownership, responsibilities, and safe handling
Discuss how bias and ethical risks enter AI systems when data lineage is ignored
Explore how poor data quality leads to missed opportunities and increased risk
who is this session for?
This session is designed for founders and business leaders who want to use AI for competitive advantage, data professionals responsible for making data fit for purpose, and policymakers or compliance officers focused on ethics and governance. It is relevant for both beginners curious about why data needs to be managed and experienced professionals facing the reality of garbage in, garbage out.
what will participants gain?
Participants will leave with:
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A realistic understanding of what AI actually requires to succeed
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The ability to evaluate whether data is truly fit for purpose
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A practical governance mindset for handling sensitive and high value data
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Greater awareness of bias and ethical risks in AI systems
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Clear priorities for moving from hype to solid foundations
If you want AI to deliver real value, this session shows why it all starts with getting your data right.
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