The IBM Watson AI XPRIZE is a 5 million competition, challenging teams globally, to develop and demonstrate how humans can collaborate with powerful AI technologies to tackle the world's grand challenges. The prize aims to accelerate adoption of AI technologies, and spark creative, innovative and audacious demonstrations of the technology that are truly scalable and solve societal grand challenges. To encourage innovation in any form, the competition is an open challenge in AI. Rather than set a single, universal goal for all teams, this competition will invite teams to each declare their own goal and solution to a grand challenge. The IBM Watson AI XPRIZE is a four-year competition with annual milestone competitions in 2017, 2018, and 2019.

IBM Watson: Find out how the world's most talked about A.I. is transforming customer experiences and transforming lives

Learn how IBM Watson works and has similar thought processes to a human.

Data volumes are soaring to previously unimaginable heights. More data has been created in the past two years than in the entire history of humanity. It is predicted that, by 2020, each person on the planet will account for the creation of an average of 1.7 megabytes of new data every second. Scalable AI solutions could help address humanity's biggest challenges. Drawing meaningful insight from such vast amounts data is beyond our capabilities as humans, but perhaps not those of machines.

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.

One of the tense moments Watson chose for the Morgan trailer. For a film about the risks of pushing the limits of technology too far, it only makes sense to advertise for it using artificial intelligence. Morgan, staring Kate Mara and Paul Giamatti, is a sci-fi thriller about scientists who've created a synthetic humanoid whose potential has grown dangerously beyond their control. Fitting, then, that they'd employ the help of America's AI sweetheart IBM Watson to build the film's trailer. IBM used machine learning and experimental Watson APIs, parsing out the trailers of 100 horror movies.

Nearly 50 million students are now returning to classrooms--from kindergarten through 12th grade. They will spend approximately eight hours a day at school and additional hours doing homework. They will be educated, in public schools alone, by the equivalent of over 3 million full-time teachers. And they will, with rare exception, learn a dismal fraction of what they ought to be learning to be creative, confident and critical thinkers about themselves and the world around them. As a parent myself, I literally apologized to each of my children--and not just once--for the fact that so much of their time as grade school and junior high school and high school students (even at private school) was being spent on memorization, regurgitation and rote learning that amounted to busy work and the warehousing of them, physically and mentally.

There are few jobs that IBM's Watson won't do. The supercomputer has created movie trailers, written musical scores, and even goofed around with Pokémon Go. Now, its newest task is running one of the biggest events in tennis: this month's US Open championships. Every year, hundreds of thousands of people gather at New York's Arthur Ashe Stadium to watch tennis' biggest names compete for the prestigious title. But coordinating an event of that size takes a lot of work, which is why IBM and the United States Tennis Association, the organization that runs the tournament, asked Watson to do a lot of the heavy lifting.

Predictive analysis: Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. I am pretty sure I know what you are thinking: the above sounds somewhat Orwellian. However, what those of us adhering to the principles of data analysis are really striving for is simple: information that will assist management in increasing employee satisfaction. Use Case: Based on reports from the nGAGEMENT contact center solution - or for that matter IBM/Watson for customer service - a contact center manager finds out when specific members of his team are performing at their best.

Condé Nast is now tapping into Watson, IBM's supercomputer, to help build and strategize social influencer campaigns for brands. Through a new partnership announced today with IBM and the influence platform Influential, brands advertising with the media company's properties--publications such as Vogue, Vanity Fair and The New Yorker--will be able to use big data to know […] Continue reading Condé Nast Has Started Using IBM's Watson To Find Influencers For Brands