{"id":4657,"date":"2014-12-31T13:41:24","date_gmt":"2014-12-31T13:41:24","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=4657"},"modified":"2014-12-31T13:42:52","modified_gmt":"2014-12-31T13:42:52","slug":"corporate-talent-management-dead-whats-next","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/corporate-talent-management-dead-whats-next\/4657\/","title":{"rendered":"Is &#8220;Corporate Talent Management&#8221; Dead? What&#8217;s Next?"},"content":{"rendered":"Josh Bersin will be keynoting at Predictive Analytics World for Workforce: March 31 &#8211; April 1, 2015. For more case studies in analytics to solve workforce management challenges visit PAW Workforce. The Epic Shift: Away from &#8220;Talent&#8221; and now focus on &#8220;People.&#8221; Talent scarcity is still a problem, but engagement, empowerment, and environment are now the real issues companies face. For the last ten years businesses and human resources departments have been heavily focused on building talent management strategies. Originally conceived as programs to help manage people from &#8220;pre-hire to retire,&#8221; these strategies have spawned a $10+ billion <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/corporate-talent-management-dead-whats-next\/4657\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Josh Bersin will be keynoting at Predictive Analytics World for Workforce: March 31 &#8211; April 1, 2015. For more case studies in analytics to solve workforce management challenges visit PAW Workforce. The Epic Shift: Away from &#8220;Talent&#8221; and now focus on &#8220;People.&#8221; Talent scarcity is still a problem, but engagement, empowerment, and environment are now [&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-4657","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\/4657","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=4657"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4657\/revisions"}],"predecessor-version":[{"id":4658,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4657\/revisions\/4658"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=4657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=4657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=4657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}