{"id":6916,"date":"2015-12-10T14:00:03","date_gmt":"2015-12-10T19:00:03","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6916"},"modified":"2015-12-07T15:52:38","modified_gmt":"2015-12-07T20:52:38","slug":"4-key-thrust-areas-for-predictive-analytics-world-manufacturing-2016","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/4-key-thrust-areas-for-predictive-analytics-world-manufacturing-2016\/6916\/","title":{"rendered":"4 Key Thrust Areas for Predictive Analytics World &#8211; Manufacturing 2016"},"content":{"rendered":"As we move to year 3 of the\u00a0Predictive Analytics World &#8211; Manufacturing annual conference, we are continuing to build on the momentum from the first two years. Our primary focus areas have remained more or less the same and we continue to get interest from practitioners and executives for the following areas. We invite you to submit your abstract to the conference here. Preventive Maintenance\/Fault Detection\/Failure Prediction How can we detect faults or failure before the problems happen? This is where maintenance using predictive analytics comes in. Data mining concepts and methods can be employed in several ways <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/4-key-thrust-areas-for-predictive-analytics-world-manufacturing-2016\/6916\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>As we move to year 3 of the\u00a0Predictive Analytics World &#8211; Manufacturing annual conference, we are continuing to build on the momentum from the first two years. Our primary focus areas have remained more or less the same and we continue to get interest from practitioners and executives for the following areas. We invite you [&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":[577,135,390,8,7,416],"class_list":["post-6916","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-fault-detection","tag-internet-of-things","tag-manufacturing","tag-predictive-analytics","tag-predictive-analytics-world","tag-simafore"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6916","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=6916"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6916\/revisions"}],"predecessor-version":[{"id":6917,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6916\/revisions\/6917"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6916"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6916"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6916"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}