{"id":2631,"date":"2013-11-12T15:44:52","date_gmt":"2013-11-12T15:44:52","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2631"},"modified":"2013-11-12T15:45:09","modified_gmt":"2013-11-12T15:45:09","slug":"use-of-predictive-models-widespread-in-pc-insurance-survey","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/use-of-predictive-models-widespread-in-pc-insurance-survey\/2631\/","title":{"rendered":"Use of Predictive Models Widespread in P\/C Insurance: Survey"},"content":{"rendered":"A survey of North American insurance professionals reveals widespread use of predictive analytics in the property\/casualty insurance industry, with as many as 82 percent responding that they use predictive modeling in one or more lines. Earnix, a provider of pricing and customer analytics to banks and insurers, and ISO, the Verisk property\/casualty insurance rate and information service, released the results of a joint industry survey,\u00a0Insurance Predictive Modeling Survey. The firms compiled responses collected online in September from 269 insurance professionals representing companies that sell personal and commercial coverage in Canada and the United States. While only 18 percent <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/use-of-predictive-models-widespread-in-pc-insurance-survey\/2631\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>A survey of North American insurance professionals reveals widespread use of predictive analytics in the property\/casualty insurance industry, with as many as 82 percent responding that they use predictive modeling in one or more lines. Earnix, a provider of pricing and customer analytics to banks and insurers, and ISO, the Verisk property\/casualty insurance rate and [&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":[199,200,8,184,201,202],"class_list":["post-2631","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-earnix","tag-iso","tag-predictive-analytics","tag-predictive-modeling","tag-research-and-trends","tag-use-of-predictive-models-property-casualty-insurers"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2631","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=2631"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2631\/revisions"}],"predecessor-version":[{"id":2634,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2631\/revisions\/2634"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2631"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2631"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}