"The Great Delay: How Deferment Impacts the Entire Consumer Journey of Care" Webinar Hosts Patrick Hunt & Ryan Donohue

Getting Personal: Real-World Application of Reinforcement Learning for Personalization

Name: Getting Personal: Real-World Application of Reinforcement Learning for Personalization
Start: 2023-01-31T13:00:00-05:00
End: 2023-01-31T14:00:00-05:00
Location: Webinar

According to McKinsey, 61% of consumers expect companies to offer products and experiences that are personalized to their behaviors, needs, and desires. But getting personalization right at scale is hard. Getting it right in healthcare is even harder. We’re not selling widgets here, we’re engaging consumers in incredibly personal and often sensitive information and activities. Join Lirio’s Chief Evangelist Patrick Hunt, as he welcomes Distinguished Scientist Clayton Webster for a discussion about leveraging a form of artificial intelligence to effectively and efficiently personalize healthcare experiences at scale. In this webinar, you’ll learn:

What reinforcement learning (RL) is, and where it fits in the broader realm of artificial intelligence and machine learning;
Why RL is so ideally suited for personalization of healthcare experiences; and
How Dr. Webster and his team have innovated and iterated real-world applications of RL, and how they have contributed to the scientific community in key areas of AI like optimization.

Please join us for this thought-provoking discussion about the advancement of AI in healthcare engagement. Questions from the audience are encouraged.

About Clayton Webster

Clayton Webster, PhD, is Distinguished Research Fellow at Lirio. He joined Lirio from a joint position as a Distinguished Professor in the Department of Mathematics at The University of Tennessee and a Distinguished Scientist and Group Leader in the Computational and Applied Mathematics Group at Oak Ridge National Laboratory. He earned his PhD in Mathematics from Florida State University. His work has earned him numerous accolades, including the Department of Energy Office of Science’s Early Career Award, the Simons Fellowship in Mathematics, and the John von Neumann Fellowship at Sandia National Laboratories. In addition, he was appointed a Frontiers of Science Fellow by the National Academy of Sciences.

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