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🏃♀️Moving Fast and Breaking Data with Shreya Shankar
The MLOps Podcast
Auto Data Validation for ML
The problem statement is how, is your data pipeline corrupted enough to result in lower quality aggregate predictions? And there are a lot of great tools to do this. But they require manual enumeration, which is hard to do at scale as engineers are turning over organizations and et cetera. So the real challenge is kind of how do you have this, how about best of both worlds?"
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