Session: Avoid These Pitfalls in Your Next AI Adventure
AI audits aren’t just about checking if a model works—they’re about making sure it’s safe, fair, and accountable. In this quick, insight-packed talk, Brandel Kremer walks through the biggest mistakes teams make when auditing AI, from weak security and missing governance records to bias and lack of human oversight. She shares practical ways to build stronger, more transparent AI systems that people can actually trust.
Bio
Brandel Kremer is the Director of Data Governance and Operations at Kellanova, where she leads global initiatives in AI, master data, and data operations across the enterprise. With a master’s degree and over two decades of experience, she has built a career on turning complex data challenges into measurable business impact. Brandel excels at bridging business and technology to accelerate decision-making, reduce risk, and drive responsible AI adoption. She currently holds accreditation from Purdue University in Generative AI as well as AI Audit certification from ISACA.