Fraud detection and authentication impact millions of people on a daily basis. Particularly in the digital age, everyone wants their digital accounts (credit cards, insurance, etc.) to be protected. In this session, Anthony will give use case walk-throughs for both fraud detection and authentication, the main challenges plaguing both, and innovative solutions for seamless execution.
Anthony Agnone is an applied research engineer, who enjoys working at the intersection of machine learning and software engineering. He holds an M.S. in Electrical & Computer Engineering from the Georgia Institute of Technology with specializations in digital signal processing and computer science.
Anthony currently works at Pindrop in Atlanta, GA as a Research Scientist to design and build machine-learning-based biometrics and fraud detection solutions.
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