One common theme among technology leaders discussing AI deployment is the need for a “definitive source.” Without trusted data, none of AI’s conclusions are truly actionable.
This week on Feds At the Edge, two technology leaders share practical strategies for building trustworthy AI environments while strengthening security and compliance.
Jared Pane from Elastic discusses why organizations can’t blindly trust AI outputs, highlighting both familiar data quality issues and emerging threats like hidden “white-space text” embedded in datasets that can carry malicious code into AI repositories.
Meanwhile, Chris Bunton from Texas Dept of Agriculture, explains how automation can simplify security and compliance, including the implementation of a policy bot that provides employees with 24/7 guidance on compliance best practices.
Tune in on your favorite podcasting platform for practical advice for agencies beginning their AI journey: start small, solve clear problems, and build a collaborative culture that supports long-term success.
To view this webinar: Unifying Data for Public Safety & National Security.
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