Scott Zoldi
Dr. Scott Zoldi is chief analytics officer at FICO, responsible for artificial intelligence (AI) and analytic innovation across FICO's product and technology solutions. Dr. Scott Zoldi has been listed as an inventor on 100+ patents, in collaboration with other data and analytic scientists, and he is also named on an additional 45+ patent applications in process. Scott is an industry leader in the responsible use of AI, Generative AI (GenAI), and Agentic AI, as well as an outspoken proponent of AI governance and regulation. His groundbreaking work in focused language models (FLMs) for GenAI and a patented use of blockchain technology for AI model development governance has helped propel Scott to AI visionary status. His recent awards include Constellation Research Award AI150, Tech Leadership Award from Banking Tech Awards, Tech Influencer Highly Commendable Award from DataIQ Data & AI Awards, San Diego Business Journal - Leaders of Influence in Technology (2025); Tech Leadership - Software & Services Provider from Fintech Futures, MachineCon AI100 Award, Innovator Award from American Banker (2024); Global Finance Innovator Award (FICO) (2023); and Corinium Future Thinking Award (2022). An enthusiastic member of the southern California tech community, Scott serves on the Boards of Directors of Software San Diego and the San Diego Cyber Center of Excellence. He received his Ph.D. degree in theoretical and computational physics from Duke University, and his work has been published in The Harvard Business Review and numerous scientific journals.
When not at his office or on a plane, Scott can often be found in his Ford Bronco, exploring the desert around San Diego with his family. To hear more of his views follow Scott on LinkedIn and BlueSky @ScottZoldi.
When not at his office or on a plane, Scott can often be found in his Ford Bronco, exploring the desert around San Diego with his family. To hear more of his views follow Scott on LinkedIn and BlueSky @ScottZoldi.
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As ATM Fraud Jumps, We Need ATM Profiling
As the US payment card infrastructure continues to move to EMV, fraudsters are turning their targets toward unattended self-service terminals, such as US ATMs, most of which have not yet been upgraded to read EMV chips.
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