Artificial Intelligence and Machine Learning are the latest buzzwords in the technology bingo game and with so many vendors touting machine learning’s and AI’s prophetic revolution, it’s tough to filter out the wheat from the chaff. In this session we’ll do just that as we discuss practical approaches to effectively leveraging AI and machine learning (ML) to combat fraud, waste and abuse. We’ll also provide some food for thought around best practices, what to expect and how to get started with AI and Machine Learning. Michael Ames, Sr. Director Fraud, Compliance and Investigation Solutions, ‎SAS Mike Ames is an Adjunct Faculty Member in the School of Business at Wake Forest University and currently leads the Applied Data Science and Emerging Technology groups for SAS’ Fraud and Security Intelligence Division. Ames has extensive consulting experience working with a diverse range of customers to develop a variety of analytic and enterprise applications. His current area of focus includes the use of artificial intelligence, robotic process automation and machine learning to combat fraud, waste and abuse. Since joining SAS in 2002, he has brought over a dozen products and solutions to market. He received his undergraduate degree in economics from the University of Georgia and his MBA from the University of North Carolina at Chapel Hill.

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21:00 - 22:00 hs GMT+1

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Fintech
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