{"id":73135,"date":"2019-01-02T16:34:45","date_gmt":"2019-01-02T16:34:45","guid":{"rendered":"https:\/\/www.sickgaming.net\/blog\/2019\/01\/02\/assessing-progress-in-automation-technologies\/"},"modified":"2019-01-02T16:34:45","modified_gmt":"2019-01-02T16:34:45","slug":"assessing-progress-in-automation-technologies","status":"publish","type":"post","link":"https:\/\/sickgaming.net\/blog\/2019\/01\/02\/assessing-progress-in-automation-technologies\/","title":{"rendered":"Assessing Progress in Automation Technologies"},"content":{"rendered":"<div class=\"lcom-stacked__main\">\n<div class=\"panel-pane pane-entity-field pane-node-body\">\n<div class=\"field field-name-body field-type-text-with-summary field-label-hidden\">\n<div class=\"field-items\">\n<div class=\"field-item even\">\n<p>To assess the state of adoption of machine learning (ML) and AI, we recently conducted\u00a0<a href=\"https:\/\/www.oreilly.com\/data\/free\/state-of-machine-learning-adoption-in-the-enterprise.csp\">a survey<\/a>\u00a0that garnered more than 11,000 respondents. As I pointed out in previous posts, we learned many companies are still in the early stages of deploying machine learning:<\/p>\n<p><img decoding=\"async\" alt=\"machine learning adoption\" src=\"http:\/\/www.sickgaming.net\/blog\/wp-content\/uploads\/2019\/01\/assessing-progress-in-automation-technologies.jpg\" \/><\/p>\n<p>Companies cite \u201clack of data\u201d and \u201clack of skilled people\u201d as the main factors holding back adoption. In many instances, \u201clack of data\u201d is literally the state of affairs: companies have yet to collect and store the data needed to train the ML models they desire. The \u201cskills gap\u201d is real and persistent.<\/p>\n<p>Read more at <a href=\"https:\/\/www.oreilly.com\/ideas\/assessing-progress-in-automation-technologies\">O&#8217;Reilly<\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/p><\/div>\n<p><a href=\"https:\/\/www.linux.com\/popup\/nojs\" class=\"ctools-use-modal ctools-modal-subscription-modal-style element-invisible\" title=\"\">Click Here!<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":"<p>To assess the state of adoption of machine learning (ML) and AI, we recently conducted\u00a0a survey\u00a0that garnered more than 11,000 respondents. As I pointed out in previous posts, we learned many companies are still in the early stages of deploying machine learning: Companies cite \u201clack of data\u201d and \u201clack of skilled people\u201d as the main [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":73136,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[40],"tags":[],"class_list":["post-73135","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-linux-freebsd-unix"],"_links":{"self":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts\/73135","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/comments?post=73135"}],"version-history":[{"count":0,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts\/73135\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/media\/73136"}],"wp:attachment":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/media?parent=73135"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/categories?post=73135"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/tags?post=73135"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}