Mark Austin

VP, Data Science, AT&T Chief Data Office

Dr. Mark Austin currently manages a team of ~250 Data Science and developers in the Chief Data Office applying AI, machine learning, and automation with applications across many areas of the company such as Fraud, Field Operations, Consumer, Security, Supply Chain, and Corporate functions. His team has developed innovative solutions for large-scale routing problems, implemented closed-loop AI classification systems and recommendation engines, operationalized computer vision, and improved process and people productivity by deploying an operating >3,000 BOTS company-wide. With 29 years of experience, Austin has also held a variety of leadership and staff roles in running technology planning operations across South Florida, Puerto Rico and the Southeast. He has chaired various industry technical standards committees is the co-author on 5 books, has published more than 20 reviewed technical papers, been granted over 100 patents, and is on a number of advisory boards in academia. He holds a bachelor’s degree in electrical engineering from the University of Maryland (summa cum laude), a doctor of philosophy degree in electrical engineering from Georgia Tech, and is the recipient of the Sigma Xi Thesis Award for his research on various topics related to optimizing cellular systems.

Past sessions

AT&T has been involved in AI from the beginning, with many firsts; “first to coin the term AI”, “inventors of R”, “foundational work on Conv. Neural Nets”, etc. and we have applied AI to hundreds of solutions. Today we are modernizing these AI solutions in the cloud with the help of Databricks and a variety of in-house developments. This talk will highlight our AI modernization effort along with its application to Fraud which is one of our biggest benefitting applications.

In this session watch:
Mark Austin, VP, Data Science, AT&T Chief Data Office
Prince Paulraj, AVP, Data Insights, AT&T Chief Data Office