{"id":13125,"date":"2023-07-07T08:53:12","date_gmt":"2023-07-07T12:53:12","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13125"},"modified":"2023-07-07T08:53:12","modified_gmt":"2023-07-07T12:53:12","slug":"dont-let-yourself-be-fooled-by-data-drift","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/dont-let-yourself-be-fooled-by-data-drift\/13125\/","title":{"rendered":"Don\u2019t Let Yourself Be Fooled By Data Drift"},"content":{"rendered":"Originally published in NannyML, May 31, 2023. If you search for information on ML monitoring online, there is a good chance that you&#8217;ll come across various monitoring approaches advocating for putting data drift at the center of monitoring solutions. While data drift detection is indeed a key component of a healthy monitoring workflow, we found that it is not the most important one. Data drift and its other siblings\u2019, target, and prediction drift can misrepresent the state of an ML model in production. The purpose of this blog post is to demonstrate that not all data drift impacts <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/dont-let-yourself-be-fooled-by-data-drift\/13125\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in NannyML, May 31, 2023. If you search for information on ML monitoring online, there is a good chance that you&#8217;ll come across various monitoring approaches advocating for putting data drift at the center of monitoring solutions. While data drift detection is indeed a key component of a healthy monitoring workflow, we found [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,1067,791,243,1312,8],"class_list":["post-13125","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-datasets","tag-deep-learning","tag-machine-learning","tag-ml-models","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13125"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13125\/revisions"}],"predecessor-version":[{"id":13129,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13125\/revisions\/13129"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}