Shaping Best Practices for Monitoring ML Models

Show notes:

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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