How Top Healthcare Companies Boost AI Development with Data-Centric Approaches

How Top Healthcare Companies Boost AI Development with Data-Centric Approaches

Snorkel AI via YouTube Direct link

Snorkel Flow unlocks the complete data-centric Al development workflow

5 of 10

5 of 10

Snorkel Flow unlocks the complete data-centric Al development workflow

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How Top Healthcare Companies Boost AI Development with Data-Centric Approaches

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  1. 1 Example Al use cases in healthcare / life sciences
  2. 2 Data has become the blocker to realizing the promise of Al at scale
  3. 3 Training data development is iterative- not a one-time process
  4. 4 Pain: bottlenecked by manual data labeling
  5. 5 Snorkel Flow unlocks the complete data-centric Al development workflow
  6. 6 With Snorkel Flow, Genentech built an Al application to extract entities with 99.1% accuracy
  7. 7 With Snorkel Flow, they built an application to identify demographic trends among patients.
  8. 8 Procedure Extraction
  9. 9 Deep support for the data types and ML tasks to power diverse use cases
  10. 10 Snorkel Flow integrates easily with your existing ML stack

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