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  <title>Shaping Best Practices for Monitoring ML Models</title>
  <description>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. &amp;amp;nbsp; 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. &amp;amp;nbsp; Peter and Elena also touch on: - On-premises versus cloud-based deployment - ML model monitoring best practices - The value of pipeline testing - And more! &amp;amp;nbsp; 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. &amp;amp;nbsp; #ML #AI #Data #DataScience #Analytics </description>
  <author_name>Numerically Speaking: The Anaconda Podcast</author_name>
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