AI is changing not only how we analyze data, but how people discover, interpret, and act on evidence. In this keynote, Dr. Travis Hoppe explores the shift from static reports, dashboards, and databases to AI systems that retrieve information, combine sources, call tools, and recommend actions.
Drawing on his experience at the White House, CDC, NIH, and the forefront of AI research, Hoppe explains why the next generation of data infrastructure must preserve provenance, context, uncertainty, and human judgment. Audiences will learn how to distinguish information that is merely available from evidence that is genuinely usable and trustworthy.
Attendees will leave with a practical framework for evaluating AI-enabled evidence systems and preparing their organizations for a world in which data is increasingly accessed through intelligent agents.
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