{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Shaping Best Practices for Monitoring ML Models","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\u2019s open-source tooling is helping users monitor machine learning (ML) models, and why that\u2019s important. &amp;nbsp; Elena has found that Evidently AI\u2019s open-source approach is attractive to data scientists and ML engineers who are ramping up model maintenance, retraining, and monitoring efforts. &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;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\u2019s show, please leave a 5-star review. For more information, visit anaconda.com\/podcast. &amp;nbsp; #ML #AI #Data #DataScience #Analytics ","author_name":"Numerically Speaking: The Anaconda Podcast","author_url":"https:\/\/sites.libsyn.com\/422309","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/25174245\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/141597639"}