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Fortune 500 healthcare and life science companies are accelerating NLP application development and reaching production faster by employing a data-centric approach to their application development. In this presentation, you’ll hear how Genentech, Memorial Sloan Kettering Cancer Research Center (MSKCC), and other leading healthcare companies have accelerated AI development from months to days using data-centric AI workflows with Snorkel Flow. About the presenter: Nazanin Makkinejad is a machine learning solutions engineer at Snorkel AI, where she works with enterprise data science teams to realize the benefits of data-centric AI and Snorkel Flow. Prior to her role at Snorkel AI, Nazanin was a Postdoctoral Research Fellow at Harvard Medical School (HMS) and Massachusetts General Hospital (MGH), working on the intersection of deep learning and brain image analysis. She has a Ph.D. from the Illinois Institute of Technology in Biomedical & Medical Engineering and a Master’s Degree in Electrical and Computer Engineering from The University of Illinois Chicago. More related videos: • AI Data Development: Building Better AI Th... #healthcarenlp #datacentricai #automateddatalabeling