{"id":51949,"date":"2015-10-09T17:08:03","date_gmt":"2015-10-09T21:08:03","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=51949"},"modified":"2015-10-09T17:08:26","modified_gmt":"2015-10-09T21:08:26","slug":"an-executives-guide-to-machine-learning-pyle-san-jose","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2015\/10\/09\/an-executives-guide-to-machine-learning-pyle-san-jose\/","title":{"rendered":"An executive\u2019s guide to machine learning [Pyle &#038; San Jose]"},"content":{"rendered":"<p class=\"mockH2\"><a href=\"http:\/\/www.mckinsey.com\/insights\/high_tech_telecoms_internet\/an_executives_guide_to_machine_learning\" target=\"_blank\"><strong>An executive\u2019s guide to machine learning<\/strong> <\/a>&#8212; from mckinsey.com by by Dorian Pyle and Cristina San Jose<br \/>\n<em>It\u2019s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix.<\/em><\/p>\n<p class=\"mockH2\"><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\"><strong>Machine learning <\/strong>is based on algorithms that can learn from data without relying on rules-based programming. It came into its own as a scientific discipline in the late 1990s as steady advances in digitization and cheap computing power enabled data scientists to stop building finished models and instead train computers to do so. The unmanageable volume and complexity of the big data that the world is now swimming in have increased the potential of machine learning\u2014and the need for it.<br \/>\n&#8230;<br \/>\nDazzling as such feats are, machine learning is nothing like learning in the human sense (yet). But what it already does extraordinarily well\u2014and will get better at\u2014is relentlessly chewing through any amount of data and every combination of variables. Because machine learning\u2019s emergence as a mainstream management tool is relatively recent, it often raises questions. In this article, we\u2019ve posed some that we often hear and answered them in a way we hope will be useful for any executive. Now is the time to grapple with these issues, because the competitive significance of business models turbocharged by machine learning is poised to surge. Indeed, management author Ram Charan suggests that \u201cany organization that is not a math house now or is unable to become one soon is already a legacy company.<\/p>\n<p class=\"mockH2\">\n","protected":false},"excerpt":{"rendered":"<p>An executive\u2019s guide to machine learning &#8212; from mckinsey.com by by Dorian Pyle and Cristina San Jose It\u2019s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix. Excerpt: Machine learning is based on algorithms that can learn from data without relying on rules-based programming. It came into its own [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[356,387,112,206,299],"tags":[],"class_list":["post-51949","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence-agents-llms-and-related","category-business","category-corporate-business-world","category-trends","category-workplace"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/51949","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=51949"}],"version-history":[{"count":2,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/51949\/revisions"}],"predecessor-version":[{"id":51951,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/51949\/revisions\/51951"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=51949"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=51949"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=51949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}