Personalized experiences today are okay for the most part. But it can get a lot better, like that true one-to-one experience we all yearn for, yet seems so elusive. Adobe thinks they've cracked that nut with the latest updates to Adobe Target and I can't argue they are moving in the right direction. Not every website is personalized. Whether it's the lack of technology or a lack of strategy, many still don't offer a personalized experience.

Adobe announced Thursday that Adobe Target is being upgraded with Sensei, the company's framework for artificial intelligence. Adobe Target is Adobe's 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. Adobe is aiming to make the creative development process easier with one-touch personalization across channels including email marketing, mobile, and connected devices. "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." 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.

WIRE)--Today's most successful brands already use data science to personalize experiences and address customer needs. Brands are increasingly building internal statistical models and algorithms to tailor experiences and yet most are not fully leveraging artificial intelligence (AI) technology. To help with this, Adobe (Nasdaq:ADBE) today announced it will open up its data science and algorithmic optimization capabilities in Adobe Target, the personalization engine of Adobe Marketing Cloud. Brands will be able to insert their own data models and algorithms into Adobe Target to deliver the best experience to customers. Additionally, the company announced new capabilities in Adobe Target powered by Adobe Sensei, its AI and machine learning framework, to further enhance customer recommendations and targeting precision, optimize experiences and automate the delivery of personalized offers.

Adobe is opening up its data science and algorithmic optimization capabilities in Adobe Target, the personalization engine of Adobe Marketing Cloud to allow organizations to insert their own data models and algorithms into Adobe Target to improve the customer experience. Additionally, the company is adding new capabilities in Adobe Target powered by Adobe Sensei, its AI and machine learning framework, to further enhance customer recommendations and targeting precision, optimize experiences and automate the delivery of personalized offers. Consumer expectations have changed, making personalization an imperative, according to Aseem Chandra, vice president, Adobe Experience Manager and Adobe Target. With the new capabilities, when integrated into Adobe Target, brands can combine their own expertise with the power of Adobe's AI and machine learning tools to predict what customers want and deliver it before they ask, helping to drive business value and brand loyalty. The ability to bring in proprietary algorithms into a marketing platform is a first for the industry, says Adobe.