{"id":4563,"date":"2014-12-18T14:06:24","date_gmt":"2014-12-18T14:06:24","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=4563"},"modified":"2014-12-17T14:19:56","modified_gmt":"2014-12-17T14:19:56","slug":"engineering-data-growth-march","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/engineering-data-growth-march\/4563\/","title":{"rendered":"Engineering Data Growth: The March is On"},"content":{"rendered":"From office furniture to conveyor belts, forgings, castings and a host of other products, durable goods manufacturer JSJ Corp. ran into the same problem many industrial firms face daily: so many people using so much data in so many places. Headquartered in Grand Haven, MI, JSJ\u2019s design teams are dispersed in about 28 locations around the world, and its 95 years in business means the company has an arsenal of intellectual capital to not just draw from, but to protect. The march of engineering data is on,\u00a0and solutions that accommodate it are emerging. For the engineering design community,\u00a0such <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/engineering-data-growth-march\/4563\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>From office furniture to conveyor belts, forgings, castings and a host of other products, durable goods manufacturer JSJ Corp. ran into the same problem many industrial firms face daily: so many people using so much data in so many places. Headquartered in Grand Haven, MI, JSJ\u2019s design teams are dispersed in about 28 locations around [&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-4563","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\/4563","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=4563"}],"version-history":[{"count":6,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4563\/revisions"}],"predecessor-version":[{"id":4569,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4563\/revisions\/4569"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=4563"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=4563"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=4563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}