Presenter: Andrei Naeymi-Rad, VP, Corporate Strategy
Session description:
In healthcare, data quality is the foundation for building AI that truly works. Relying on open-source data for training leads to basic models that miss critical clinical context. In this talk, we’ll demonstrate how trusted data aggregators achieved scalable, reliable AI by focusing on data quality. Discover why using unrefined open-source data is insufficient and how enhanced data extraction and codification drive better outcomes in healthcare AI.
Don’t settle for basic – learn how superior data quality transforms AI into a powerful tool for real-world applications.
