Data Governance and Metadata Architecture for Agentic AI

Every AI initiative eventually hits the same wall. The models are ready. The data is sitting right there. But nothing in the environment knows what the data means, who owns it, how fresh it is, or whether it is safe to put in front of a model. That is not a modeling problem. It is a metadata problem.
This month Datalere is partnering with OvalEdge for an evening on the least glamorous prerequisite for AI readiness, and the one that decides whether the rest of it works.

PLEASE NOTE: this month we are at CITY PARK TAVERN, not the Washington Street Community Center, and it is the THIRD Tuesday rather than the second.

WHO YOU WILL HEAR FROM
Sharad Varshney, Co-Founder and CEO of OvalEdge, on agentic data governance: what AI agents can genuinely take off your plate in discovery, classification, lineage, and policy monitoring, and where people stay in the loop to approve and guide.

Sean Hewitt on metadata architecture. Sean authored Eckerson Group's white paper on metadata governance and works with Datalere on client engagements. Six metadata domains, four maturity levels, four steps to get from chaos to a working standard, tuned for a world where agents both consume metadata and generate it.

A panel moderated by Carlos Bossy, CEO and Chief Data Architect at Datalere, with Sharad, Sean, Shannon Prince, Head of Data at Cetera Financial Group, and Nathan Dhodapkar, Database Administrator at Connect for Health Colorado. Nathan works inside the state's official health insurance marketplace, where governance is a regulatory requirement rather than a best practice. Bring questions.

AGENDA
5:30 to 6:15 · Networking and happy hour
6:15 to 6:35 · Welcome and introductions
6:35 to 6:45 · Sharad Varshney, OvalEdge: Agentic Data Governance
6:50 to 7:15 · Sean Hewitt: Metadata Architecture, the key to unlock your AI product potential
7:20 to 8:00 · Panel discussion and close

WHO SHOULD COME
Data architects, data engineers, analytics leaders, governance and privacy practitioners, and anyone who has been asked "when will we be AI ready?".