Future of AI and Data Science in Telecommunications
Join us for a fireside chat with Bryan Larish, Chief Security Architect, Networks at Verizon and Nick Feamster, Neubauer Professor of Computer Science at the University of Chicago on the emerging uses of AI and data science in telecommunications. Learn how machine learning can be used for advanced anomaly detection, IoT, edge computing and security applications. They will discuss the state of the field both in academia and industry, what changes have occurred due to COVID-19, and where they see opportunities for innovation.
The event will be moderated by Heather Zheng, Neubauer Professor of Computer Science at UChicago.
Part of the CDAC 2021 Data & Technology Outlook Series
Many of the data science and computational tools that revolutionized the modern business landscape resulted from close collaborations between industry and academia. Tomorrow’s innovations are under construction today in R&D departments and university laboratories, where researchers develop solutions to the most pressing data challenges across fields.
This winter, the Center for Data and Computing (CDAC) at the University of Chicago presents a series of critical conversations between industry leaders and researchers pushing the frontiers of data science forward, presenting and discussing new tools in artificial intelligence, data analysis and discovery, security and privacy, that will define the next decade of data technology in science and industry. The Outlook series will provide a balanced understanding of the trends reshaping business and tech with the goal of translating hype into realistic predictions.
Bryan Larish is the Chief Security Architect for Verizon’s networks. In that role he leads a team that plans and architects the future security capabilities of Verizon’s networks. His team also develops artificial intelligence and machine learning capabilities that improve the performance of Verizon's networks.
Prior to joining Verizon, Bryan was Technical Director for Enterprise Connectivity & Specialized IT Services at a U.S. Government agency where he was responsible for setting the technical direction of the development and operation of the agency's global network infrastructure. Bryan also worked in the Chief Engineer’s office at the U.S. Navy’s Space and Naval Warfare Systems Command (SPAWAR) where he implemented engineering techniques used to manage, architect, and plan the U.S. Navy’s communications/IT systems portfolio. Bryan’s other experience includes Technical Director for Navy engineering policy and various engineering roles at SPAWAR.
Bryan holds a Ph.D. and M.S. in electrical and computer engineering from the Georgia Institute of Technology and a B.S.E. in electrical engineering from Arizona State University.
Nick Feamster is Neubauer Professor of Computer Science and Faculty Director of Research at the Data Science Institute. Feamster designs and deploys network protocols and systems that make the Internet work better, and uses empirical network measurement and machine learning to understand and improve network performance, security, and privacy