Shaping Best Practices for Monitoring ML Models
Play • 35 min

In this episode, host Peter Wang is joined by Elena Samuylova, CEO and Co-Founder of Evidently AI. Peter and Elena discuss how Evidently AI’s open-source tooling is helping users monitor machine learning (ML) models, and why that’s important.


Elena has found that Evidently AI’s open-source approach is attractive to data scientists and ML engineers who are ramping up model maintenance, retraining, and monitoring efforts.


Peter and Elena also touch on:

- On-premises versus cloud-based deployment

- ML model monitoring best practices

- The value of pipeline testing

- And more!


You can find a human-verified transcript of this episode here. -

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#ML #AI #Data #DataScience #Analytics

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