{"id":4817,"date":"2015-02-04T15:04:03","date_gmt":"2015-02-04T15:04:03","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=4817"},"modified":"2015-02-04T15:04:25","modified_gmt":"2015-02-04T15:04:25","slug":"predictive-analytics-forecast-hr-software-2015","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-forecast-hr-software-2015\/4817\/","title":{"rendered":"Predictive analytics forecast for HR software in 2015"},"content":{"rendered":"For more on the application of predictive analytics for HR, attend PAW Workforce, March 31-April 1, 2015 Experts in HR and financial software are predicting that 2015 could produce some important breakthroughs in the use of predictive analytics, in-memory computing, big data and mobile applications. In interviews, they said a relentless push to the cloud, including software as a service (SaaS), will pick up where it left off last year. Christopher Iervolino, research director at Gartner Inc., based in Stamford, Conn., said corporations have only scratched the surface of what predictive analytics and big data can do for <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-forecast-hr-software-2015\/4817\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>For more on the application of predictive analytics for HR, attend PAW Workforce, March 31-April 1, 2015 Experts in HR and financial software are predicting that 2015 could produce some important breakthroughs in the use of predictive analytics, in-memory computing, big data and mobile applications. In interviews, they said a relentless push to the cloud, [&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-4817","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\/4817","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=4817"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4817\/revisions"}],"predecessor-version":[{"id":4819,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4817\/revisions\/4819"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=4817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=4817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=4817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}