{"id":4230,"date":"2014-10-30T17:16:16","date_gmt":"2014-10-30T17:16:16","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=4230"},"modified":"2015-01-13T02:35:48","modified_gmt":"2015-01-13T02:35:48","slug":"insurers-still-struggle-predictive-analytics-study","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/insurers-still-struggle-predictive-analytics-study\/4230\/","title":{"rendered":"Insurers still struggle with predictive analytics: Study"},"content":{"rendered":"Majority of the insurers cite lack of IT resources as their biggest challenge in implementing anti-fraud technology. Predictive Analytics World for Business, March 29 &#8211; April 2, 2015 in San Francisco, will include five (5) sessions on insurance application from industry leaders. LAS VEGAS \u2014 The use of anti-fraud technology by insurers in North America is on the rise. However, many companies are still struggling with the deployment of proactive predictive analytics tools because of resource constraints, according to a study. Nearly 95 per cent of insurance companies reported using anti-fraud software as of 2013. That\u2019s a marked <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/insurers-still-struggle-predictive-analytics-study\/4230\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Majority of the insurers cite lack of IT resources as their biggest challenge in implementing anti-fraud technology. Predictive Analytics World for Business, March 29 &#8211; April 2, 2015 in San Francisco, will include five (5) sessions on insurance application from industry leaders. LAS VEGAS \u2014 The use of anti-fraud technology by insurers in North America [&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-4230","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\/4230","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=4230"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4230\/revisions"}],"predecessor-version":[{"id":4722,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4230\/revisions\/4722"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=4230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=4230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=4230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}