To simplify the path toward enterprise AI, organizations are turning to IBM Watson Studio and Watson Machine Learning. Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle.

Before Siri and Alexa, there was Watson. Appearing as a contestant on "Jeopardy!" made IBM's Watson a household name. But since its debut -- and win -- in 2011, the computer has morphed into something else entirely: An artificial intelligence tool for business. The company opened up Watson in the cloud wars, making the technology available on competitors' clouds last month. Behind the Watson branding are career technologists making the tool work for business customers.

Machine Learning, Data Science, and Predictive Analytics techniques are in strong demand. That's why since its launch, IBM Watson Studio has proven to be very popular with academia. Thousands of students and faculty have been drawn to Watson Studio for its powerful open source and code-free data analysis tools. Now, this all-in-one platform for data science is free to students and faculty with unlimited use with Watson Studio Desktop. Watson Studio Desktop, with unlimited compute, is now available for free to students and faculty for teaching and learning purposes via a 1 year subscription.

Each brush activates a set of neurons in a GAN that has learned to draw scenes.

How are you using Watson in your business? We wanted to improve the candidate experience by creating interactions with job seekers visiting our career site, as well as increase the number of applications we receive for hard-to-fill roles. Watson Candidate Assistant answers general questions about working at NBCUniversal, and it recommends jobs based on keyword matching between openings and the job seeker's resume. Candidates using a traditional job search may look by functional areas or job titles, but that might not match our company's vernacular. We can now drive candidates to roles they might not have found.

Deploying AI-imbued apps and services isn't as challenging as it used to be, thanks to offerings like IBM's Watson Studio (previously Data Science Experience). Watson Studio, which debuted in 2017 after a 12-month beta period, provides an environment and tools that help to analyze, visualize, cleanse, and shape data; to ingest streaming data; and to train and optimize machine learning models in real time. And today, it's becoming even more capable with the launch of AutoAI, a set of features designed to automate tasks associated with orchestrating AI in enterprise environments. "IBM has been working closely with clients as they chart their paths to AI, and one of the first challenges many face is data prep -- a foundational step in AI," said general manager of IBM Data and AI Rob Thomas in a statement. "We have seen that complexity of data infrastructures can be daunting to the most sophisticated companies, but it can be overwhelming for those with little to no technical resources. The automation capabilities we're putting Watson Studio are designed to smooth the process and help clients start building machine learning models and experiments faster."

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Powered by the latest innovations in machine learning, Watson is the open, multicloud platform that lets you automate the AI lifecycle. Build powerful models from scratch, or speed time-to-value with pre-built enterprise apps.

IBM Watson Health is tapering off its Drug Discovery program, which uses "AI" software to help companies develop new pharmaceuticals, blaming poor sales. IBM spokesperson Ed Barbini told The Register: "We are not discontinuing our Watson for Drug Discovery offering, and we remain committed to its continued success for our clients currently using the technology. We are focusing our resources within Watson Health to double down on the adjacent field of clinical development where we see an even greater market need for our data and AI capabilities." In other words, it appears the product won't be sold to any new customers, however, organizations that want to continue using the system will still be supported. When we pressed Big Blue's spinners to clarify this, they tried to downplay the situation using these presumably Watson neural-network-generated words: The offering is staying on the market, and we'll work with clients who want to team with IBM in this area.

Golf fans who are planning to watch the Masters this weekend will have yet more ways to check out the action. For the first time at a golf tournament, practically every one of the more than 20,000 shots from the first major of the year will be available to view on the Masters website and app within five minutes of a player striking the ball. While these videos won't be live, you'll essentially be able to watch full rounds from the likes of Tiger Woods, Rory McIlroy and Jordan Speith without such trivial matters as watching them walk between shots. There is a caveat in that cameras might not capture shots in some instances, such as those from unusual lies, or if a group's tee shots end up in wildly different spots. The Masters attracts sports aficionados who might not typically watch golf as well as devotees, so it's a high-profile way to debut this technology after a few years of development. It should be especially useful over the first two days when the field is at its most expansive, and a player might be unexpectedly putting together a killer round and rampaging up the leaderboard when they aren't a focus of the TV broadcast.