Margaret Mason
The Culverhouse Business Analytics Symposium, presented by the Institute of Data & Analytics, serves as a dynamic intersection between industry and academia.
This premier event brings together professionals from both areas to create a collaborative environment where knowledge and expertise are shared. The symposium showcases current analytic practices used in various industries and highlights the latest methodological advances developed within academic research.
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Jason Parton, Director, Institute of Data and Analytics / Associate Professor of Statistics
Kay M. Palan, Dean, Culverhouse College of Business
Janneke van Geuns, Head of Measurement & Analytics, Financial Services, Google
Complex problems, siloed departments, and lots of data make it difficult to make the right decisions. This is why Google and its customers embrace the power of measurement and analytics.
Charles Villarreal, VP, Director of Data Analytics, City Bank
Data is undisputedly one of the most valuable assets in business. The advanced analytics toolbox continues to expand at an incredible speed. Yet businesses consistently struggle to derive value from their data & analytics programs. This talk will explore how to drive business value with data & analytics by way of a systems thinking approach.
Ryan M. McKeon, Director, Office of Analytics, U.S. Department of State, Global Public Affairs
I will discuss the importance of open source information, how we gather it, and how our analysts use it to derive insights that improve senior decision makers’ understanding of events around the world.
Lance Roth, AI/ML Manager, Lockheed Martin Artificial Intelligence Center
Building AI solutions is hard. At Lockheed Martin, we are staying ahead of ready by applying artificial intelligence technologies and platforms to succeed in our customers’ mission. The Lockheed Martin Artificial Intelligence Center (LAIC) is setting the standard by being both the center of excellence and foundation for AI across the enterprise. The LAIC is providing the AI infrastructure, upskilling, and custom solutions that accelerate core competencies that are both inward and outward facing.
Krishna Cheriath, VP & Head of Digital Data and Analytics Zoetis
Since the advent of ChatGPT and the rapid acceleration of Large Language Models, Generative AI is at the peak of its hype cycle. Among the tech experts there are AI optimists and AI pessimists. There are those who are excited about the potential for creation of new business models, new ways of doing things and unlock further human productivity and creativity. But there are others who worry about the disruption and the displacement of the workforce, and the ethical and moral implications. This talk will focus on unpacking Generative AI, the potential, the risks and what are the essential building blocks that an organization will need to get right as the embark on a Generative AI journey.
Krishna Cheriath, VP & Head of Digital Data and Analytics, Zoetis
Since the advent of ChatGPT and the rapid acceleration of Large Language Models, Generative AI is at the peak of its hype cycle. Among the tech experts there are AI optimists and AI pessimists. There are those who are excited about the potential for creation of new business models, new ways of doing things and unlock further human productivity and creativity. But there are others who worry about the disruption and the displacement of the workforce, and the ethical and moral implications. This talk will focus on unpacking Generative AI, the potential, the risks and what are the essential building blocks that an organization will need to get right as the embark on a Generative AI journey.