Adaptability is key, with tools and problems judiciously chosen for meaningful and successful applications. Simplest natural language processing methods can still add value, projects that do not involve protected health information can serve as a sandbox while meeting important business needs, and sophisticated generative artificial intelligence techniques can be combined with traditional machine learning methods for maximal impact.

She will present examples of each of these scenarios, and also describe the challenges encountered. Her hope is to provide one snapshot of the current state of realistic generative AI and Machine Learning applications at a healthcare delivery organization.