Note: This is part one of a two-part series on IBM Watson Care Manager for specialty courts. Our goal at the Juvenile Court of Montgomery County, Ohio, is to keep kids alive until they're old enough to make decisions on their own. We feel as if almost every child is directly or indirectly at risk today because of drugs, abuse and other issues. When we can't rely on the family to take care of them, it's our role to become like a surrogate parent. We give them a chance to survive until they're an adult and able to make it on their own.

The Internet of Things is about connections and the massive amounts of data that result from those connections. Trouble is, most of the resulting data is not tapped, and that's where IBM and its AI mega-machine Watson come in. During a break in the IBM Genius of Things summit in Boston this week, I sat down with Harriet Green, general manager of Watson IoT and customer engagement and education at IBM, to discuss IBM's IoT and AI strategy. Green sees a market need as an opportunity, noting that 80% of the world's data is not yet searchable. "We've made a big bet ($3 billion) on IoT and bringing AI capabilities to IoT," says Green. "We're seeing this huge drive to connect the world's devices to, in our case, the IBM cloud, the IoT platform. People are understanding that if you connect things to things and things to people, the data flows and the opportunities are very real. "Secondly, we're seeing that the software application to gather this data and apply analytics to it are becoming deeper and richer.

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Every year, companies spend 1.3 trillion dollars on 265 billion customer service calls. On average, the cost to find and hire a call center agent costs $4000 (not including salary), with an additional $4,800 for training -- and with frustrated agents tending to drop like flies in the face of an often brutally stressful job, these costs mount up. AI, or what IBM calls cognitive computing, is changing that. Autodesk began piloting the IBM Watson Conversation Service in June 2016 as a virtual agent called OTTO, later enhancing it and renaming it AVA (Autodesk Virtual Agent) in February 2017. The return on investment has been tremendous, says Rob High, IBM vice president and Watson chief technology officer and one of the featured speakers at VB Summit coming up on October 23 and 25 in Berkeley, CA.

Hollywood is beginning to recast artificial intelligence from being the lead character in movies to becoming the leading technology driving the industry. Producers and directors alike are discovering the power of a new kind of AI assistant: IBM Watson, the cognitive computing system that is enhancing the work of the human imagination and giving artists, filmmakers, and other creative minds the tools to uncover new ways of thinking and problem-solving. Imagine the ultimate "super-assistant" on the set to help make hundreds of decisions and take care of mundane tasks that free you up to concentrate on making the picture a box office success. IBM Watson can do this by pushing the boundaries of what producers and directors can create on the silver screen. It can analyze volumes of data -- think photos, online content, scripts, video -- and then recognize, inform and project from the patterns it identifies.

As if active portfolio managers didn't have enough challenges from computer-driven passive investing strategies, now machines are directly horning in on their territory. San Francisco-based EquBot LLC is launching the first ever exchange-traded fund to use artificial intelligence, according to a company statement on Tuesday. Employing International Business Machines Corp.'s Watson platform, the AI Powered Equity ETF, ticker AIEQ, will attempt to mimic an army of equity research analysts working around the clock, according to Art Amador, co-founder of EquBot. "There has been an explosion of information," Amador said by phone. "AI provides a more informed way of investing."

Machine learning has already made its mark in healthcare as well as fraud detection, with PayPal leveraging it to fight against money laundering. And both new and emerging machine learning technologies are set to make waves in the realms of B2C and B2B marketing. A supercomputer that combines AI with superior analytical software, IBM Watson is a fully-optimized question answering system - and it processes at a rate of 80 teraflops (trillion floating-point operations per second). Enticed by its incredible cognitive abilities, brands including Staples and Autodesk are successfully using IBM Watson's technology. For Autodesk, their goal was to reduce the turnaround time and overall costs of their customer support initiatives.

For this project, we will be using the bAbI data set created by Facebook. This data set, like all QA data sets, contains questions. Questions in bAbI are very straightforward, although some are trickier than others. All of the questions in this data set have an associated context, which is a sequence of sentences guaranteed to have the details necessary to answer the question. In addition, the data set provides the correct answer to each question.