{"id":9396,"date":"2017-04-19T12:20:47","date_gmt":"2017-04-19T10:20:47","guid":{"rendered":"https:\/\/www.gpec.ro\/blog\/?p=9396"},"modified":"2017-04-19T12:21:43","modified_gmt":"2017-04-19T10:21:43","slug":"rtb-house-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.gpec.ro\/blog\/en\/rtb-house-artificial-intelligence","title":{"rendered":"RTB House: How Artificial Intelligence Is Changing The Face of Online Advertising"},"content":{"rendered":"
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\"RTB<\/a>AI has forever changed digital advertising. As marketers, it already allows us to decide how to best engage potential customers and markets like never before. But there\u2019s room to grow. Deep learning tools are the next major area of AI-based research, and it will spark a wave of future innovation in every industry.<\/p>\n

According to a new Adlucent research<\/a>, consumers crave a personalized advertising experience and 71% of respondents prefer ads tailored to their interests and shopping habits<\/strong>. The study also showed that people are almost twice as likely to click through on an ad featuring an unknown brand if the ad was tailored to their preferences.<\/p>\n

With increasing access to data and fast-moving competition, it has never been more important for marketers to make sense of the noise surrounding users \u2013 but it has also never been easier. A typical personalization model can be made without super-advanced algorithms, but we know this limit has already been reached. New deep learning algorithms can detect unexpected situations and hidden potential<\/strong>.<\/p>\n

Deep learning is changing the way we think about effectiveness. This the most promising field of AI-based research, found in Google Translate, Tesla self-driving cars or Yahoo\u2019s imagine recognition mechanism. It is used also in more futuristic ways. Google\u2019s DeepMind AI can lip-read TV shows better than a professional (a human expert annotated only 12.4% of words without any errors, versus AI at 46.8%). These algorithms have won against the world\u2019s top poker players and can even self-direct a movie \u2013 shown recently by Saatchi & Saatchi at the Cannes Lions International Festival of Creativity.<\/p>\n

Deep Learning Algorithms That Predicts Your Desires<\/h3>\n

When artificial intelligence is applied to any commercial product or service distribution, it becomes a unique extension of who we are. It works phenomenally in Netflix\u2019s recommendation system. Many movies watched on Netflix come from the company\u2019s deep learning enhanced suggestions. Amazon also trusts self-learning algorithms. The company\u2019s patented algorithm-based \u201danticipatory shipping\u201d system can ultra-precisely define customer purchase patterns and predicts brand, price range, and product that will be bought. Based on that, they ship products to distribution centers before an order is even placed \u2013 revolutionizing the e-commerce industry.<\/p>\n

In the near future, advertisers and users will experience the evolution of advertising<\/strong>. While it may seem a little bit sci-fi, it\u2019s more likely a natural progression to make online activities more efficient than ever before.<\/p>\n","protected":false},"excerpt":{"rendered":"

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AI has forever changed digital advertising. As marketers, it already allows us to decide how to best engage potential customers and markets like never before. But there\u2019s room to grow. Deep learning tools are the next major area of AI-based research, and it will spark a wave of future innovation in every industry. According to a new Adlucent research, consumers crave a personalized advertising experience and 71% of respondents prefer ads tailored to their interests and shopping habits. The study also showed that people are almost twice as likely to click through on an ad featuring an unknown brand if the ad was tailored to their preferences.<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-9396","post","type-post","status-publish","format-standard","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/posts\/9396","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/comments?post=9396"}],"version-history":[{"count":2,"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/posts\/9396\/revisions"}],"predecessor-version":[{"id":9398,"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/posts\/9396\/revisions\/9398"}],"wp:attachment":[{"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/media?parent=9396"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/categories?post=9396"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gpec.ro\/blog\/wp-json\/wp\/v2\/tags?post=9396"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}