How Roche’s Data Platform accelerates Feature Engineering through Generative AI

This talk explores how Roche’s data platform harnesses the power of Generative AI to revolutionize feature engineering, a critical step in developing predictive models and enhancing data-driven healthcare.

Feature engineering, traditionally a time-consuming and expertise-intensive process, is significantly accelerated through the data platform’s integration of Generative AI. Roche’s data platform automates the extraction, creation, and optimization of features from vast and diverse datasets, transforming raw data into meaningful inputs for machine learning models. By leveraging Generative AI, the data platform not only increases efficiency but also uncovers hidden patterns and relationships that may be overlooked by traditional methods. This innovation enables faster iteration cycles, more accurate predictions, and ultimately, more personalized patient care. The talk will cover the technical architecture of the data platform, showcase real-world applications, and discuss the challenges and solutions in integrating Generative AI with existing data pipelines. 

Attendees will gain insights into how Roche’s data platform sets a new standard in feature engineering, driving forward the next generation of healthcare analytics and machine learning solutions, and paving the way for more innovative and effective healthcare interventions.