{"id":1984,"date":"2013-07-12T18:45:16","date_gmt":"2013-07-12T18:45:16","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=1984"},"modified":"2013-08-12T13:23:22","modified_gmt":"2013-08-12T13:23:22","slug":"chatting-with-your-computer-how-the-iphones-siri-compares-with-ibms-watson","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/chatting-with-your-computer-how-the-iphones-siri-compares-with-ibms-watson\/1984\/","title":{"rendered":"Chatting with your Computer: How the iPhone&#8217;s Siri Compares with IBM&#8217;S Watson"},"content":{"rendered":"IBM&#8217;s Watson computer, which defeated the two all-time human champs on the TV quiz show Jeopardy! in 2011, is a glowing example of the heights achievable by predictive analytics. This is a machine that answers questions\u2014about any of a broad, open range of topics. The same core technology that companies use to predict whether you&#8217;ll buy and which ad you&#8217;ll click is employed under Watson&#8217;s hood to predict, given a question, whether a candidate answer is correct. With this capability in place, Watson can &#8220;cast a wide net&#8221; by collecting thousands of candidate answers for a question, and <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/chatting-with-your-computer-how-the-iphones-siri-compares-with-ibms-watson\/1984\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>IBM&#8217;s Watson computer, which defeated the two all-time human champs on the TV quiz show Jeopardy! in 2011, is a glowing example of the heights achievable by predictive analytics. This is a machine that answers questions\u2014about any of a broad, open range of topics. The same core technology that companies use to predict whether you&#8217;ll [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1985,"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-1984","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1984","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=1984"}],"version-history":[{"count":13,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1984\/revisions"}],"predecessor-version":[{"id":1993,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1984\/revisions\/1993"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media\/1985"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=1984"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=1984"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=1984"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}