{"id":4051,"date":"2014-09-18T13:39:24","date_gmt":"2014-09-18T13:39:24","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=4051"},"modified":"2014-09-18T13:41:20","modified_gmt":"2014-09-18T13:41:20","slug":"analytics-will-target-obvious-health-law-fraudsters-tax-official-says","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/analytics-will-target-obvious-health-law-fraudsters-tax-official-says\/4051\/","title":{"rendered":"Analytics will target obvious health law fraudsters, tax official says"},"content":{"rendered":"Dean Silverman keynoted at Predictive Analytics World for government, September 15-18, to see more on the conference click here. Dean Silverman, head of the Internal Revenue Service&#8217;s Office of Compliance Analytics, leads the charge to transform taxpayer data into actionable intelligence about fraud, underpayment by filers, overpayment of refunds by the Treasury and identity theft, by using analytical models. Part of the trick, he said in a discussion at the Predictive Analytics World conference in Washington, D.C., is building a culture of data-driven decision making with buy-in at the highest levels of the organization. But success is also <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/analytics-will-target-obvious-health-law-fraudsters-tax-official-says\/4051\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Dean Silverman keynoted at Predictive Analytics World for government, September 15-18, to see more on the conference click here. Dean Silverman, head of the Internal Revenue Service&#8217;s Office of Compliance Analytics, leads the charge to transform taxpayer data into actionable intelligence about fraud, underpayment by filers, overpayment of refunds by the Treasury and identity theft, [&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":[11,48],"tags":[],"class_list":["post-4051","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\/4051","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=4051"}],"version-history":[{"count":8,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4051\/revisions"}],"predecessor-version":[{"id":4059,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4051\/revisions\/4059"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=4051"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=4051"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=4051"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}