Scale for Data Science Innovation Across the Healthcare Value ChainLearn how data science leaders from Lilly, McKesson, and NVIDIA foster enterprise-wide data science adoption.
Can data science increase the likelihood and velocity of scientific discoveries making it into clinical practice?
Digital healthcare data and machine learning at scale has brought unprecedented change in the healthcare and life sciences sector, with data and predictive models driving a new focus on innovation across the value chain.
In this panel discussion moderated by Thomas Robinson, VP of Strategic Partnerships & Initiatives at Domino Data Lab, you’ll learn from healthcare leaders like Andrea de Souza, Global Head of Data Sciences & Engineering at Eli Lilly, Susan Hoang, VP Oncology Intelligence Analytics at McKesson, and Rima Alameddine, VP of Sales for Healthcare and Manufacturing at NVIDIA, as they discuss:
- The journeys they’ve taken in deploying data science at scale, from organizational strategy to infrastructure/tooling.
- Best practices across people, process, and technology for MLOps at enterprise scale.
- Sourcing, managing, and up-skilling data science talent.
Andrea de Souza
Watch On Demand
You’ll hear directly from experts on how healthcare and companies have scaled data science, so you don’t have to learn the hard way.
Learn how data science leaders approach managing and developing data science expertise - from talent sourcing to organizational structure.