Getting Personal: Real-World Application of Reinforcement Learning for Personalization
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
Case Study: Bon Secours Mercy Health Moves 81% of Unengaged Patients with Diabetes Toward PCP Visits
What Vaccine Hesitancy Can Tell Us About Nudging People to Better Health
Behavioral interventions targeting vaccine adoption, which we designed for a Louisiana health system, have implications for any behavioral intervention aimed at improving and sustaining health behaviors. I recently had the opportunity to share the lessons we learned at a meeting of the Virginia chapter of HIMSS.