The Weather Company is getting ready to roll out its first ad campaign since being acquired by IBM earlier this year. Next week, IBM will begin showing display ads for Campbell's on The Weather Company's website with personalized recipes created by Watson and based on a user's location, what the weather is in the area and which ingredients they want to cook with. Using a series of application program interfaces, or APIs--Speak and text, 'Chef Watson' API and a natural language classifier--Watson is able to ingest client data and then develop an experience based on a particular brand. According to Jeremy Steinberg, IBM's global head of sales for The Weather Company, Watson wasn't initially built for advertising. However, he said, Watson has the potential to create one-to-one experiences for brands and consumers.

They are the APAC and Australian leaders of some of the largest, or fastest rising marketing tech, adtech and ecommerce companies. And they are passionate about helping their clients understand their own consumers using data analytics. So we figured it was time to turn the lens around. We used IBM's Personality Insight services in the Watson Developer Cloud to tell us a little bit about the personality of each of the following executives; Karen Stocks from Twitter, Ben Sharp from AdRoll, Liam Walsh from Amobee, Jodie Sangster from ADMA, Paul Robson from Adobe, Derek Laney from Salesforce, Paul Cross from Oracle, Matt Barrie from Freelancer and Ruslan Kogan from Kogan. Given their commitment to the cause of data-driven marketing we are sure they won't mind at bit.

Yes, you read that right: an actual artificial intelligence created the advertisement for a movie about terrifying AI. To create the film, the company used experimental Watson APIs and machine learning techniques to comb through hundreds of movie trailers for horror and thrillers. "Let's send Watson to film school," as John Smith, an IBM fellow who helped work on the project, explained. The team behind Watson helped the AI learn how movie trailers work, and then analyzed every scene in the human-made movie to pick the best ones for the trailer. The AI was able to detect which of the movie scenes were cheerful and uplifting, versus which ones were sad or scary.

Modern search engines have made dramatic progress in answering questions about facts, such as those that might be retrieved or directly inferred from a knowledge base. However, many other real user questions are more complex, such as requests for opinions, explanations, instructions or advice for a particular situation, and are still largely beyond the competence of the computer systems. As conversational agents become more popular, QA systems are increasingly expected to handle such complex questions, and to do so in (nearly) real-time, as the searcher is unlikely to wait longer than a minute or two for an answer. One way to overcome some of the challenges in complex question answering is crowdsourcing. We explore two ways crowdsourcing can assist a question answering system that operates in (near) real time: by providing answer validation, which could be used to filter or re-rank the candidate answers, and by creating the answer candidates directly. In this paper we present CRQA, a crowd-powered, near real-time automatic question answering system for complex informational tasks, that incorporates a crowdsourcing module for augmenting and validating the candidate answers. The crowd input, obtained in real-time, is integrated into CRQA via a learning-to-rank model, to select the final system answer. Our large-scale experiments, performed on a live stream of real users questions, show that even within a one minute time limit, CRQA can produce answers of high quality. The returned answers are judged to be significantly better compared to the automatic system alone, and even are often preferred to answers posted days later in the original community question answering site. Our findings can be useful for developing hybrid human-computer systems for automatic question answering and conversational agents.

After months of physician-failed diagnosis, a super computer steps in and saves the life of a female patient from Japan, suffering from leukemia. IBM Watson Health has committed to developing a partnership between humanity and technology with the goal of transforming global health. With the ability to read 40 million documents in 15 seconds, IBM's Watson –super computer powered with artificial intelligence- studied the patient's medical records for ten minutes and was able to compare her type of cancer against 20 million oncological records, according to International Business Times. Physicians in Japan decided to try out IBM's Watson on patients after all other treatment options had failed. The Watson revealed that the patient's condition was another form of leukemia and required a different treatment from the one originally prescribed.

IBM Watson can add yet another skill to its resume: the ability to make movie trailers. Morgan is, after all, a sci-fi flick about a group of scientists who created a humanoid machine that rapidly gained capabilities and went out of control. To train the computer for the task, IBM Research scientists fed it 100 horror movie trailers cut into separate "moments" or scenes. Watson then performed visual, audio and composition analysis on each scene to develop an idea of what people find scary. After that was done, the team fed it all 90 minutes of Morgan to find the right moments to include in the trailer.

IBM's Watson artificial intelligence supercomputer is going to lend its insights to help enhance the fan experience at the U.S. Open Tennis Championships. It will do so via a new cognitive-based concierge feature in the tournament's official mobile app. To enhance the fan experience at the Billie Jean King National Tennis Center, the mobile app 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, and on-site services and facilities. Accessible via the cloud, Watson will offer cognitive computing, cloud, and analytics. By tapping into the natural language software from the Watson platform, the A.I.-infused app will enable fans to ask questions in natural language and get the information they need to plan and navigate their tournament experience.

Candida Vitale and the other fellows at MD Anderson's leukemia treatment center had known each other for only a few months, but they already were very tight. The nine of them shared a small office and were always hanging out on weekends. Dr. Tina Cascone demonstrates the Oncology Expert Advisor System powered by IBM Watson at the Thoracic Center at MD Anderson Hospital in Houston. She says the system provides physicians with accurate information to provide personalized cancer treatment. Rumor had it that he had finished med school in two years and had a photographic memory of thousands of journal articles and relevant clinical trials.

During the British summer, conversations about sport become almost ubiquitous. This year, however, one participant in those conversations was very different: IBM Watson, IBM's cognitive intelligence. The All England Lawn Tennis Club knew that 2016 would feature unusually fierce competition for attention, with the Tour de France and Euro 2016 taking place alongside Wimbledon. More than ever before, social media was going to be a vital tool in directing that conversation, and directing attention to SW19. Wimbledon's "Cognitive Command Centre" – powered by Watson's intelligence running on a hybrid, IBM-managed cloud - scanned social media for emerging news and trends.