Best Practices in Operationalizing Your AI and ML Strategy for Scale
Today’s healthcare environment continues to drive digital transformation at an accelerated pace, with artificial intelligence (AI) and machine learning (ML) being a critical element in supporting both clinical and operational strategies. While most payer, provider and life science organizations have an existing use case with AI and ML in place, many struggle with operationalization and scale. At HIMSS22, Shawn Wang, Chief AI Officer, Elevance (formally Anthem, Inc.) shared three recipes he has found for success in this space- from running AI as a business to managing AI solutions as products. Join us for part 2 of this discussion with Shawn where he will share an update on his recipes for success and then then facilitate a panel discussion.
Learning Objectives
- Prioritizing, and scaling, your AI/ML initiatives
- Harnessing consumer data for greater personalization
- Considerations for AI/ML with a reduced workforce
- Measuring ROI on your investment
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