Optimizing Data Management for Generative AI
Presented on audit trails, data quality, and data silos as operating requirements for generative AI, at American Family Insurance with the Wisconsin DAMA chapter.
Selected public conversations with data and operating leaders on AI that has to work in regulated and industrial workflows.
Selected public speaking and moderated forums with data, operations, and supply-chain leaders.
Presented on audit trails, data quality, and data silos as operating requirements for generative AI, at American Family Insurance with the Wisconsin DAMA chapter.
Moderated a private executive roundtable on generative and agentic AI with operations, finance, and IT leaders from companies including Abbott, Medline, Kraft Heinz, Johnson Controls, and other supply-chain and industrial operators.
Guest conversation on AI that looks strong in isolation but has to work with bad data, broken handoffs, prior authorization, clinical decision support, and human review.
Discussion with Alex Jarett on healthcare AI moving from pilots into real workflows, agentic systems, governance, and operating limits.
Panel with Microsoft, USG, and Accenture on what organizations should prepare for with generative AI: leadership engagement, hands-on experimentation, responsible use guardrails, data management, and governance.
Ongoing writing on AI authority, weak evidence, human review, and decision control in consequential workflows.
Keynotes, briefings, panels, and working sessions on authority, evidence, and control.
Bring the initiative, the audience, or both.