{"id":208443,"date":"2017-07-28T19:15:07","date_gmt":"2017-07-28T23:15:07","guid":{"rendered":"http:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/adobe-target-upgraded-with-artificial-intelligence-mediapost-communications\/"},"modified":"2017-07-28T19:15:07","modified_gmt":"2017-07-28T23:15:07","slug":"adobe-target-upgraded-with-artificial-intelligence-mediapost-communications","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/artificial-intelligence\/adobe-target-upgraded-with-artificial-intelligence-mediapost-communications\/","title":{"rendered":"Adobe Target Upgraded With Artificial Intelligence &#8211; MediaPost Communications"},"content":{"rendered":"<p><p>    Adobe announced Thursday that Adobe Target is being upgraded    with Sensei, the companys framework for artificial    intelligence.  <\/p>\n<p>    Adobe Target is Adobes testing and optimization platform, and    will now become the personalization engine of the marketing    cloud, says Kevin Lindsay, director of product marketing at    Adobe Target.  <\/p>\n<p>    Adobe is aiming to make the creative development process easier    with one-touch personalization across channels including email    marketing, mobile, and connected devices.  <\/p>\n<p>    Brands are really struggling with personalization because    different people care about different lines of businesses,    says Lindsay. This struggle is just compounded by mobile    technology and connected experiences.  <\/p>\n<p>    A\/B testing enables the analysis of multiple variations of    content, and is the most common way that email marketers    personalize messages, but Adobe Target will now be able to    significantly expand its testing capabilities with the help of    Sensei by automatically targeting customers for personalized    experiences instead.  <\/p>\n<p>      advertisement    <\/p>\n<p>      advertisement    <\/p>\n<p>    Sensei uses machine learning to determine the best experience    for the individual. Marketers can then quickly deliver that    experience across digital properties with one-click    personalization, as Adobe Target uses Sensei to continuously    update a customers profile and preferences after every    action.  <\/p>\n<p>    An automated offer feature also helps marketers send the best    promotional offer to subscribers who are predicted to be most    interested in that content. This could be especially helpful    for email marketers during times of high traffic, such as the    holidays. Adobe has also added a backup policy, so marketers    can hold back a certain amount of traffic and only send new    content to a control group.  <\/p>\n<p>    Sensei takes manual optimization to the next level because it    takes all variables in to consideration, says Lindsay. We    dont believe that any human can possible appreciate whats    happening on a large scale when millions of people are coming    to a site. Real-time signals can tell a story that might not    immediately be obvious to us mere mortals.  <\/p>\n<p>    The solution also contains visualization of analytics so    marketers can see trends and quickly react to them, and    variables that are having an impact on an experience can be    pulled to the surface.  <\/p>\n<p>    Lindsay says creative teams should not feel threatened by the    machines.  <\/p>\n<p>    Putting creative in front of the right people at scale will    allow marketers to be even more creative, he says. It can    better ensure the right people are seeing the right products    and efforts.  <\/p>\n<p>    In addition, Adobe announced plans to a launch the beta version    of a new recommendations algorithm in September. Lindsay says    the recommendation engine has been outperforming previous    algorithms by as much as 60%, and will be available for email    marketers.  <\/p>\n<p>    Its inspired by natural language, explains Lindsay. It    basically does an analysis of a customers entire online    behavior, and starts to look at the signal these interactions    provide. As the machine ingests more and more data, it begins    to interpret them almost like words.  <\/p>\n<p>    Finally, Adobe hinted at a new open technology the company is    working on that will allow brands to plug in their own    proprietary algorithms into Adobe Target for customized    personalization. The tool is not yet available, but Adobe says    they it will provide more details once product development is    completed next year.  <\/p>\n<p>    The standard pricing for Adobe Target includes more rules-based    targeting, such as A\/B testing, but the premium version has now    been upgraded with Sensei. Subscribers to the Adobe Marketing    Premium product will be able to access the new personalization    solution Friday morning when they enter their office.  <\/p>\n<\/p>\n<p><!-- Auto Generated --><\/p>\n<p>More: <\/p>\n<p><a target=\"_blank\" rel=\"nofollow\" href=\"https:\/\/www.mediapost.com\/publications\/article\/305011\/adobe-target-upgraded-with-artificial-intelligence.html\" title=\"Adobe Target Upgraded With Artificial Intelligence - MediaPost Communications\">Adobe Target Upgraded With Artificial Intelligence - MediaPost Communications<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Adobe announced Thursday that Adobe Target is being upgraded with Sensei, the companys framework for artificial intelligence. Adobe Target is Adobes testing and optimization platform, and will now become the personalization engine of the marketing cloud, says Kevin Lindsay, director of product marketing at Adobe Target.  <a href=\"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/artificial-intelligence\/adobe-target-upgraded-with-artificial-intelligence-mediapost-communications\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[187742],"tags":[],"class_list":["post-208443","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/208443"}],"collection":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/comments?post=208443"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/208443\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/media?parent=208443"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/categories?post=208443"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/tags?post=208443"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}