When it's not busy healing America's broken criminal sentencing system, Watson is creating highlight videos of tennis matches. That's probably one of the things one could say if IBM's AI system were human. The tech titan has just launched a suite of Watson-powered AI solutions for its enterprise customers, and the US Open is already using one of them to generate highlights of its matches. IBM calls the suite "Watson Media," and the US Tennis Association is using one of its features called "Cognitive Highlights." This particular solution finds the most exciting parts of a match by analyzing the crowd's cheers, as well as the players' gestures and facial expressions. It then automatically generates videos of the most thrilling moments, which are then posted on Facebook and published on the US Open apps.

If you want to learn how to use Python notebooks on IBM Bluemix to do machine learning with your SAP data, you may have a look at this blog entry. It provides detailed step-by-step explanations how to accomplish this.

Enter the 21st century building's "digital twin." Think of it as a dynamic, virtual model of the physical structure, powered by the massive amounts of data that a single structure generates around the clock--everything from design specs to equipment parameters and live occupancy data. With IoT-enabled sensors tracking a building's "pulse" and feeding data back into next-generation systems such as Watson, facility owners and managers today are able to reconstruct every relevant metric from a physical structure in a digital environment. Every asset--from the HVAC system to the vending machines--can be monitored and analyzed remotely. But how do you manage those assets over time?

How was Watson trained to understand both culture and music? The creative process was simple. To understand culture, AlchemyLanguage API first uncovered the most pervasive themes in each year. Then, Watson Tone Analyzer read blogs, news articles, and social media to gauge the sentiment around those themes. With this data, Watson arrived at an emotional fingerprint of culture.

Smith: What would you say is the public's biggest misperception about Watson? What is one thing that folks might think that Watson can do that it actually cannot? Harbour: The biggest misperception about Watson is that it's meant to replace humans. Watson works with humans to enhance the abilities of professionals at every level, from highly specialized surgeons to oil drillers, and automates many basic tasks. However, no matter how advanced the technology, some jobs -- specifically, those that rely heavily on empathy, ethical judgment, and social interaction -- will always be performed better by humans.

The US Open pits 256 players against one another, competing for more than $50 million in prize money in this year's Grand Slam event. A quarter-million points will be scored during the two-week tournament in Queens, in New York City, and at any given time, 17 matches can be in progress. To make sense of all that, and serve up better, quicker digital access, the U.S. Tennis Association is using a special weapon: IBM Watson. The artificial intelligence system will help the USTA sort through thousands of highlights each day, selecting the best ones using its own scoring system. Fans not in front of a TV will then be able to see those highlights almost instantly.

You've probably seen the Watson commercials, where what looks like a sentient box interacts with celebrities like Bob Dylan, Carrie Fisher, and Serena Williams; or doctors; or a young cancer survivor. Maybe you caught the IBM artificial intelligence technology's appearance in H&R Block's Super Bowl commercial starring Jon Hamm. "It is one of the most powerful tools our species has created. It helps doctors fight disease," Hamm says. "It can predict global weather patterns. It improves education for children everywhere. And now we unleash it on your taxes."

This particular solution finds the most exciting parts of a match by analyzing the crowd's cheers, as well as the players' gestures and facial expressions. It then automatically generates videos of the most thrilling moments, which are then posted on Facebook and published on the US Open apps. Noah Syken, IBM VP of Sports & Entertainment Partnerships, explained that USTA turned to Watson for help, because there could be as many as 18 matches going on at the same time. Even the fastest video team will have a hard time analyzing matches and stitching the best moments together as they happen. It probably also helped that IBM tested Cognitive Highlights as a proof of concept at the Master's Tournament earlier this year, and Wimbledon also used the technology to generate some videos. In addition to Cognitive Highlights, the US Open is also using Watson's Conversation API to power its Cognitive Concierge app.

I spoke with Tanmay Bakshi all about machine learning, how he got into developing software so early on, what he thinks about the Singularity and more in this interview outside the IBM Watson Summit in Sydney! Tanmay Bakshi is an IBM Champion, IBM Honorary Cloud Advisor, Algorithmist, machine learning and Watson developer, author, speaker and YouTuber! Thank you for your time Tanmay! A very big thank you to the team at the IBM Watson Summit in Sydney for helping organise this interview and supporting Dev Diner in its goal of helping developers get into emerging tech! Thank you to Heartbeat Intensity for putting together the fantastic music for this and for her work behind the camera!

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