Shaping Best Practices for Monitoring ML Models
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Shaping Best Practices for Monitoring ML Models
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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.
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