Diego Oppenheimer is worried that the Googles and the Facebooks will dominate the world of artificial intelligence. Elon Musk and Sam Altman are worried about the same thing. That's why they created a startup called OpenAI. In recent years, Google and Facebook have snapped up so many researchers at the heart of the deep learning movement, an AI movement that's rapidly reinventing everything from speech recognition to security. So, Musk and Altman grabbed several top AI researchers from Google and Facebook and vowed to share their work with the world at large.

Data scientists are in short supply. But so too are managers that understand data science and machine learning enough to spot the opportunities for using these disciplines to optimize their businesses. McKinsey Global Institute has projected that by 2018, the U.S. alone will face a shortage of 1.5 million managers and analysts with the necessary analytics and data science expertise to fill demand. To combat this problem, Data science automation specialist DataRobot announced today that it has updated its DataRobot University curriculum with Data Science for Executives, a half-day offering that teaches executives interested in the benefits of advanced data science how to identify opportunities to optimize their business using machine learning. "If you look at the success of future companies, we think it's dependent on three things," says Jeremy Achin, co-founder and CEO of DataRobot.

As a longtime health care professional, it is hard to imagine a more exciting time in health care. The innovation and pace of change is breathtaking. Before our eyes, our health care system is being deconstructed. As it is reconstructed, aided by technology, the focus of care is shifting from the provider to the person. We have seen this evolution in the financial services sector, the transportation sector, etc. Technology has finally come to health care.

It's a struggle because deep learning is taught by academics, for academics. The way practitioners learn new technologies is by developing prototypes that deliver value quickly. This is a top-down approach to learning, but it is not the way that deep learning is taught. A way that works for top-down practitioners like you. You will believe that being successful with applied deep learning is possible.

Instead of going to school, school will come to you. That's the prize-winning idea behind RISE High, a proposed Los Angeles charter high school designed to serve homeless and foster children whose educations are frequently disrupted. Los Angeles educators Kari Croft, 29, and Erin Whalen, 26, who came up with the idea, won 10 million in XQ: The Super School Project, a high school redesign competition funded by Laurene Powell Jobs, the widow of Steve Jobs. RISE is one of 10 10-million winning school projects nationwide. Winners receive the prize money over five years.

Speaking in a theater packed with cheering students, Mayor Eric Garcetti reiterated his promise Wednesday to make one year of community college free for eligible high school graduates, beginning next year. Inside the doors of Los Angeles City College's El Camino Theater, a band played while staff distributed promotional T-shirts to high school and community college students in the audience. Onstage, elected officials congratulated each other on the launch of "L.A. College Promise," and on drawing the attention of their high-profile guest: Jill Biden, wife of Vice President Joe Biden and a longtime educator. The program held enormous potential, everyone agreed. But five months after the mayor dropped a mention of the free-tuition proposal into his annual State of the City speech, Garcetti had few details to offer.

The sale of artificial intelligence-based platforms to business started off as a multi-million dollar pitch targeted toward the CEO, according to Nova Spivack, the founder and CEO of Bottlenose. The Los Angeles-based startup is looking to automate the application of AI to business intelligence, as well as much of the work of data scientists, currently in scarce supply. That should lower the price, a lot. In recent years, AI-driven applications have been targeted toward the CIO. In the future, Mr. Spivack says, they well may be sold directly to business leaders, and the price will drop to thousands or even hundreds of dollars per user, he told CIO Journal.

Earlier this year, Andreessen Horowitz investor Chris Dixon noted that how challenging it's become for investors to help groom promising AI startups, given how quickly Facebook, Google, and Amazon are bringing aboard related talent. Dixon noted, for example, that Wit.ai, a Y Combinator startup that built voice-activated interfaces that Facebook bought and which now powers its Messenger platform, was only in Andreessen Horowitz's portfolio for a few months when Facebook bought it. But firm co-founder Marc Andreessen said on stage at Disrupt today that the firm is beginning to see things swing in the opposite direction. "Two years ago, it seemed like four or five companies were hoovering up all the talent . . . I think something like 1,500 people over four years [were involved in] building Alexa," the technology that powers Amazon's voice-controlled home computer Echo.

The sale of artificial intelligence-based platforms to business started off as a multi-million dollar pitch targeted toward the CEO, according to Nova Spivack, the founder and CEO of Bottlenose. The Los Angeles-based startup is looking to automate the application of AI to business intelligence, as well as much of the work of data scientists, currently in scarce supply. That should lower the price, a lot. In recent years, AI-driven applications have been targeted toward the CIO. In the future, Mr. Spivack says, they well may be sold directly to business leaders, and the price will drop to thousands or even hundreds of dollars per user, he told CIO Journal.

Is artificial intelligence the next big wave in ed-tech offerings? NPR reports that Pearson, the world's largest education company, says artificial intelligence is already showing up in classrooms and could offer plenty in the way of assessment. An example of artificial intelligence at work in classrooms could entail software to provide instant feedback regarding students' knowledge, progress and method of learning. This could potentially lead to the elimination of the need for standardized testing (it's important to note here that Pearson controls up to 60 percent of the U.S. testing market, by some estimates). With more intuitive systems, however, students could feasibly be evaluated as they go -- which leads to the next big question: Will this technology help or hurt students?