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Shaping biomedicine with machine learning to drive innovation

Part of the AI Ignition video and podcast series, brought to you by the Deloitte AI Institute, intended to ignite applied AI conversations in the Age of With™

How does collaboration between machine learning and biomedicine spur AI innovation? Daphne Koller discusses how to apply machine learning techniques to create value.

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How do we take responsibility for the varied uses of AI?

How does collaboration between machine learning and biomedicine spur AI innovation? How can these two scientific cultures compliment and support one another? In this AI Ignition episode, Beena Ammanath talks with Daphne Koller, Founder and CEO of Insitro and Co-founder of Coursera, about her vision and experience drawing on the best of both disciplines to create value.

 

We find that our best work comes when the problems that we're working on would never have been completed without the truly synergistic interaction between the two communities.

Daphne Koller is the CEO and Founder of Insitro, a startup company that aims to rethink drug development using machine learning. Daphne was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years. She was the co-founder, co-CEO and President of Coursera for 5 years, and the Chief Computing Officer of Calico, an Alphabet company in the healthcare space.

 

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Ignite your AI curiosity by exploring Deloitte’s future of AI in the enterprise video and podcast series

Artificial intelligence continues to change the world around us at a dizzying pace. 

Join Beena Ammanath, executive director of the Deloitte AI Institute and technology optimist, as she dives into the hottest topics and trends in artificial intelligence. Each episode will feature conversations with creators, implementers, collaborators, and experts exploring where AI began and where it’s going. Tune in each month to discover new episodes available via video interview or podcast.

Contact us for information on this podcast, or visit the AI Ignition library for the full collection of episodes.

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