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