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. - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_%20Elena%20Samuylova_%20HVT.docx.pdf

If you enjoyed today’s show, please leave a 5-star review. For more information, visit anaconda.com/podcast.

 

#ML #AI #Data #DataScience #Analytics

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