Accelerating AI in healthcare with data-centric AI

March 2, 2022 | 11∶00 AM–11∶30 AM Pacific Time


Healthcare organizations have troves of valuable data in patient records, doctors’ notes, provider statements, and more, but this data isn't AI-ready. Data science teams rely on experts to label data needed to train ML models, all while operating with strict privacy regulations and data policies. The consequence is a fragmented process where routine model development often takes months, slowing down the pace of adoption of AI in healthcare.

In this webinar, you’ll learn how Snorkel AI is helping leading global healthcare organizations cut down AI application development time by 10-100x by automating labeling with a data-centric AI platform, Snorkel Flow.

The webinar will cover

  • A new data-centric approach to AI development powered by programmatic labeling.
  • How programmatic labeling cascades across model development and deployment to achieve more accurate, adaptable, and trustworthy AI applications.
  • How a leading life sciences company saved $10 million in labeling cost and built a clinical trial analytics application in weeks.

Presented by


Machine Learning Engineer
Snorkel AI


Director of Solutions Strategy
Snorkel AI

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About the presenters

Aarti Bagul
Aarti is a machine learning engineer at Snorkel AI where she enables some of the top organizations across banking, healthcare and government to solve complex ML problems using Snorkel Flow. Before Snorkel AI, she worked closely with Andrew Ng in various capacities—at AI Fund helping build ML companies from scratch internally, as well as investing in ML companies (a hybrid MLE/PM/VC associate role), as a machine learning engineer at his startup Landing AI, as head TA for his deep learning class at Stanford (CS230), and in his research lab at Stanford.

She graduated with a masters in CS from Stanford and with bachelors in CS and computer engineering from NYU with highest honors. During her time at NYU, she worked in David Sontag’s lab on applications of machine learning to clinical medicine, and at Microsoft Research as a research intern for John Langford, where she contributed to Vowpal Wabbit, an open-source project.

Arjun Prakash
Arjun heads Snorkel AI’s product and GTM investments for use-cases and solutions across industries, including healthcare. Arjun joined Snorkel AI from Palantir, where he was an early employee of the commercial business and spent 8 years building and leading various teams including healthcare, financial services, and commercial strategy. Prior to Palantir, Arjun was a researcher at BlackRock and Siemens Corporate Research and has a degree in electrical and computer engineering from Cornell University.

We look forward to seeing you!

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