Discover how leading healthcare and life science companies are accelerating NLP application development using data-centric AI workflows in this 25-minute presentation. Learn about Genentech and Memorial Sloan Kettering Cancer Research Center's success in reducing AI development time from months to days with Snorkel Flow. Explore real-world use cases, including entity extraction with 99.1% accuracy and demographic trend identification among patients. Gain insights into overcoming manual data labeling bottlenecks, implementing iterative training data development, and integrating data-centric AI workflows with existing ML stacks. Presented by Nazanin Makkinejad, a machine learning solutions engineer at Snorkel AI with extensive experience in deep learning and biomedical engineering.