{"id":4731,"date":"2019-05-10T16:16:13","date_gmt":"2019-05-10T20:16:13","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=4731"},"modified":"2019-07-30T08:37:58","modified_gmt":"2019-07-30T12:37:58","slug":"gartner-names-5-cool-vendors-in-ai-for-customer-analytics-2019","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/gartner-names-5-cool-vendors-in-ai-for-customer-analytics-2019\/","title":{"rendered":"Gartner Names 5 Cool Vendors in AI for Customer Analytics 2019"},"content":{"rendered":"

\"Gartner<\/p>\n

Analyst house Gartner, Inc. has released its newest research<\/a> highlighting four emerging solution providers that data and analytics leaders should consider as compliments to their existing architectures. Cool Vendors in Artificial Intelligence for Customer Analytics, 2019<\/em><\/a> features information on startups that offer some disruptive capability or opportunity not common to the marketplace. Gartner analysts Tuong Nguyen, Jessica Ekholm, Brian Manusama, Jason Daigler, and Saniye Alaybeyi compiled the materials for this report.<\/p>\n

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\"Download<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/p>\n

Solutions Review’s editors have read the complete report, which is available here<\/a>, and want to take the opportunity to provide a brief, independent introduction to each of the cool vendors listed. Though Gartner’s process for selecting Cool Vendors is somewhat mysterious<\/a>, we believe our unique view of the space can help you to better understand how these analytics solutions will fit into the marketplace as time goes on.<\/p>\n

Adoreboard<\/a><\/strong><\/p>\n

The Adoreboard Emotics Platform assigns emotions and themes into strengths, weaknesses, opportunities and threats so you can take a strategic view of customer or employee experience. Emotics automatically generates benchmarks to uncover insights on how you compare to the competition. The tool also provides a window into the causes of emotional response via a warning system for emotions that provoke a response. Users can then measure the intensity of emotion across 8 indexes and 24 emotions to pinpoint themes.<\/p>\n

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cClearly<\/a><\/strong><\/p>\n

The cClearly platform combines unique clickstream data on more than 50 million consumers with over 5000 facts and datapoints about those consumers together with first-party consumer interaction data. This allows marketers to find insights, target campaigns and optimize performance effectively across all media channels and paid search in particular. cClearly offers solutions for Audience Insights, Audience Targeting for Paid Search, and Audience Optimization for Paid Search.<\/p>\n

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Cerebri AI<\/a><\/strong><\/p>\n

The Cerebri Values system is a patent-pending machine learning model that analyzes each touchpoint in a customer’s journey to calculate a single metric quantifying commitment to a brand or product from the customer’s point of view. With Cerebri Values, you can unify data sets that never talked to each other before. The model enables Next Best Actions (NBAs) that maximize each customer’s commitment to your brand, which drives KPI achievement forward.<\/p>\n

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Datakalab<\/a><\/strong><\/p>\n

Datakalab has developed a new tool for measuring emotions and behaviors using IBM Tealeaf. This tool is able to measure the levels of attention and emotional commitment during the journey of clients on a site. These behavioral measures are cross-referenced with the data collected by IBM Tealeaf on all visitor interactions of the site (click, input field fill, mouse movement). This makes it possible to know on which page a customer had a particular emotion and to identify the possible technical and design problems of the site.<\/p>\n

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Streamoid<\/a><\/strong><\/p>\n

Streamoid is building an AI platform for fashion and retail that offers search and style recommendations. The company’s search is powered by an advanced fashion intelligence module, and understands natural language, images, voice and the context between different items. Users can interact with it like they would a knowledgeable fashion sales assistant. The tool’s styling engine offers online product and outfit recommendations in real-time based on the shopper’s intent as well.<\/p>\n

Read Gartner’s Cool Vendors in Artificial Intelligence for Customer Analytics 2019.<\/span><\/strong><\/a><\/p>\n

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\"\"<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Analyst house Gartner, Inc. has released its newest research highlighting four emerging solution providers that data and analytics leaders should consider as compliments to their existing architectures. Cool Vendors in Artificial Intelligence for Customer Analytics, 2019 features information on startups that offer some disruptive capability or opportunity not common to the marketplace. Gartner analysts Tuong […]<\/p>\n","protected":false},"author":23,"featured_media":4733,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[963,964,965,116,962,966,39,967],"acf":[],"yoast_head":"\nGartner Names 5 Cool Vendors in AI for Customer Analytics 2019<\/title>\n<meta name=\"description\" content=\"Gartner's newest vendor report highlights four emerging Cool Vendors in AI for Customer Analytics that offer innovative alternatives.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/business-intelligence\/gartner-names-5-cool-vendors-in-ai-for-customer-analytics-2019\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta name=\"twitter:label2\" 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