Impacting product innovation, process efficiency and bottom line with AI/ML
Fail Faster
Episode 321
-33 minutes
May Wu, Senior Director, Carelon, a data and analytics-driven platform delivering clinical insights so each person can access proven value-based care.
May Wu, Senior Director, Carelon, a data and analytics-driven platform delivering clinical insights so each person can access proven value-based care. May unpacks her collection of learnings from executing AI/ML solutions in different industries from start-ups to enterprises. She is always curious about where an insight makes a direct impact on innovation, efficiency, or the bottom line. May shares how she is running the AI practice as a business within the enterprise with a result-oriented mindset of taking data-driven strategy to the next level, either packaged as products for the market or as an actionable call to action. Bringing together the right components to deliver a personalized Healthcare experience and building proactive people-first care models, digital tools, and services to provide better care for their members.
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