IBM Watson has talked tennis with Serena Williams and music with Bob Dylan. Now it wants to talk to you -- via online ads. The Weather Company, acquired by IBM in January, will begin bringing Watson-enhanced interactive advertisements to The Weather Channel and Weather Underground apps on Android and iOS and to weather.com and wunderground.com The ads, powered by Watson's artificial intelligence, will prompt consumers to ask questions such as "What would be good to cook for dinner?" or "Is this medicine safe for my child?" The first companies with Watson-enabled ads will be Campbell Soup, GSK Consumer Healthcare and Unilever.
IBM (NYSE: IBM) and the United States Tennis Association (USTA) today announced that IBM Watson is coming to the US Open Tennis Championships for the first time via a new cognitive concierge feature being piloted within the tournament's official mobile apps to enhance the fan experience at the Billie Jean King National Tennis Center. The US Open mobile app Guest Services companion will pilot a Watson-enabled discovery tool that allows fans to input natural language questions and receive immediate responses about a range of tournament topics, such as transportation and directions, food and drink options, on-site services and facilities, as well as other topics. By tapping into the Natural Language API from the Watson platform, the AI-infused app will enable fans to ask questions in natural language and get the information they need to plan and navigate their tournament experience. For example, fans can ask questions like, "Where can I get a soda?" or "Where are the taxi stands?" Due to Watson's machine learning capabilities, the app also continuously learns from previous interactions helping further refine its responses over time.
Amazon and Google always thrive in the fourth quarter as people get out their wallets for Christmas. Both companies – or in Google's case, its parent group, Alphabet – are therefore expected to announce booming revenues in their fourth-quarter results over the next fortnight, with Alphabet going first on Thursday and Amazon the following week. But analysts are already looking beyond the simple question of how many cardboard boxes Amazon filled and how many searches Google answered. They're wondering which company will win the battle to control your home. That battle is being fought by two carafe-sized cylinders from the respective companies.
Here's a scary fact that most SEO content creators may not want to face: AI-generated content is already happening. In 10 years, AI-generated content probably will be the norm. In 20 years, robot content creators might take over the reins entirely. "In 10 years the majority of content will be generated by software. In 20 years, humans will wonder why we wasted so much time on content creation.
Kempter, Renato (Swiss Federal Institute of Technology Lausanne (EPFL)) | Sintsova, Valentina (Swiss Federal Institute of Technology Lausanne (EPFL)) | Musat, Claudiu (Swiss Federal Institute of Technology Lausanne (EPFL)) | Pu, Pearl (Swiss Federal Institute of Technology Lausanne (EPFL))
Spectators are increasingly using social platforms to express their opinions and share their emotions during big public events. Those reactions reveal the subjective perception of the event and extend its understanding. This has motivated us to develop a system to explore and visualize volume, patterns, and trends of user sentiments as they evolve over time. Previous work in sentiment analysis and opinion mining has addressed these issues. But the majority of them distinguish only two polarity categories, leaving a more detailed and insightful analysis to be desired. In this paper, we suggest using a fine-grained, multi-category emotion model to classify and visualize users' emotional reactions in public events. We describe EmotionWatch, a tool that constructs visual summaries of public emotions, and apply it to the 2012 Olympics as a test case. We report findings from a user study evaluating the usability of the tool and validating the emotion model. Results show that users prefer a more detailed inspection of public emotions over the simplified analysis. Despite its complexity, users were able to effectively grasp, understand, and interpret the emotional reactions using EmotionWatch. The same user study also pointed out few design improvements for the future development of analogous systems.