{"id":13455,"date":"2024-04-02T08:22:20","date_gmt":"2024-04-02T12:22:20","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13455"},"modified":"2024-04-05T13:02:18","modified_gmt":"2024-04-05T17:02:18","slug":"getting-machine-learning-projects-from-idea-to-execution","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/getting-machine-learning-projects-from-idea-to-execution\/13455\/","title":{"rendered":"Getting Machine Learning Projects from Idea to Execution"},"content":{"rendered":"Originally published in Harvard Business Review Machine learning might be the world\u2019s most important general-purpose technology, but it\u2019s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What\u2019s missing? A specialized business practice suitable for wide adoption. This article presents a six-step practice for ushering machine learning projects from conception to deployment. This disciplined approach serves both sides: It empowers business professionals and it establishes a sorely needed strategic framework for data professionals. Excerpted from\u00a0The AI Playbook: Mastering the Rare Art of <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/getting-machine-learning-projects-from-idea-to-execution\/13455\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Harvard Business Review Machine learning might be the world\u2019s most important general-purpose technology, but it\u2019s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What\u2019s missing? A specialized business practice suitable for wide adoption. This article [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"class_list":["post-13455","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13455","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\/78"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13455"}],"version-history":[{"count":6,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13455\/revisions"}],"predecessor-version":[{"id":13474,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13455\/revisions\/13474"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13455"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13455"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}