#322 - Impacting product innovation, process efficiency and bottom line with AI/ML

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.  

Om Podcasten

We take you inside the trenches of enterprise and bring you the stories of the leaders who are creating the next generation of technology and products. At InfoBeans, we love making things. We are a diverse team of designers, engineers, and product strategists. With different backgrounds and skillsets, we come together to make exceptional technology. This podcast pairs members of our team with leaders from Fortune 500’s to startups in conversations that reveal surprising wins, juicy losses, and innovation techniques you’ll love.