From AI Basics to Beating Benchmarks: Expert Guidance to Adopt and Improve With New Technologies

There’s a balance between waiting for the perfect AI model to be ready and adopting it quickly. Particularly in healthcare, organizations must embrace new technologies while also maintaining a healthy level of skepticism and questioning AI’s outputs. They’re challenged to understand AI, implement it, and start outpacing previous processes or results with the help of this technology – a tall order.

Patrick Kovalik, Industry Principal - Healthcare & Life Sciences at Snowflake, sheds some light on how to find that right balance at the business and individual level. Executives are challenged to lay out an AI framework and train models on the right semantics; to teach models to speak how their business does. Meanwhile, individuals must be vigilant against the danger of AI being too easy to use; its efficiencies don’t mean the work is done. Rather, the time saved from using AI should be applied to digging deeper into a problem or task, or to consider a new approach.

Explore what continued AI use may look like at the organizational and personal level in this podcast.