{"id":5099,"date":"2015-03-23T19:20:25","date_gmt":"2015-03-23T19:20:25","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5099"},"modified":"2015-03-23T19:20:51","modified_gmt":"2015-03-23T19:20:51","slug":"use-analytics-to-improve-operations-and-energy-efficiency","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/use-analytics-to-improve-operations-and-energy-efficiency\/5099\/","title":{"rendered":"Use Analytics to Improve Operations and Energy Efficiency"},"content":{"rendered":"Big data and predictive analytics are being used by business and industry to make changes and improve processes and operations in big ways. From handling 50 billion Facebook photos to decoding the human genome, the practical applications of big data are as diverse as they are exciting. When it comes to facilities management and energy efficiency, big data is helping companies make changes that increase profits, improve operations, and reduce their carbon footprints. Even with all the focus on financial growth, we often fail to recognize that growth can occur only if operations are efficient and harmonized with <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/use-analytics-to-improve-operations-and-energy-efficiency\/5099\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Big data and predictive analytics are being used by business and industry to make changes and improve processes and operations in big ways. From handling 50 billion Facebook photos to decoding the human genome, the practical applications of big data are as diverse as they are exciting. When it comes to facilities management and energy [&hellip;]<\/p>\n","protected":false},"author":2,"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":[],"class_list":["post-5099","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5099","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=5099"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5099\/revisions"}],"predecessor-version":[{"id":5100,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5099\/revisions\/5100"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}