AI and the Changing Face of Financial Crimes: Beyond the Marketing Hype

Presented by

Michael Ames, SAS

About this talk

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.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (99)
Subscribers (16243)
In today's organizations, you need to get relevant data quickly to drive faster business decisions. With big data, sometimes that's easier said than done. SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source. Plus, SAS offers an integrated, flexible presentation layer for the full breadth of SAS Analytics capabilities: data and text mining, statistics, predictive analytics, forecasting and optimization. One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.