{"id":5574,"date":"2015-06-18T10:35:00","date_gmt":"2015-06-18T10:35:00","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5574"},"modified":"2015-06-17T19:48:23","modified_gmt":"2015-06-17T19:48:23","slug":"3-keys-to-a-smooth-migration-from-data-science-to-predictive-analytics-0618151","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/3-keys-to-a-smooth-migration-from-data-science-to-predictive-analytics-0618151\/5574\/","title":{"rendered":"From Data Science to Predictive Analytics"},"content":{"rendered":"Data science is a powerful tool for business.\u00a0 With a number of practical uses and successful use cases in companies from Amazon to P&amp;G, it\u2019s hard deny the impact of data science methodologies on the bottom line.\u00a0 20 years ago, that would have led to a long run as a dominant toolset with adoption slowly reaching even the smallest businesses.\u00a0 That was the age of incremental, linear change and it\u2019s no longer the reality for companies in competitive markets. The pace of change is now exponential.\u00a0 Startups have leapfrogged major players with small data science teams and data <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/3-keys-to-a-smooth-migration-from-data-science-to-predictive-analytics-0618151\/5574\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Data science is a powerful tool for business.\u00a0 With a number of practical uses and successful use cases in companies from Amazon to P&amp;G, it\u2019s hard deny the impact of data science methodologies on the bottom line.\u00a0 20 years ago, that would have led to a long run as a dominant toolset with adoption slowly [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[166,8,339],"class_list":["post-5574","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-data-science","tag-predictive-analytics","tag-talent-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5574","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=5574"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5574\/revisions"}],"predecessor-version":[{"id":5579,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5574\/revisions\/5579"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}