Is there training at NASA or elsewhere for this kind of stuff? There are analogues of the space station and the modules to prepare you for how to handle things. You go see how you're going to do the so-called mundane things you'll be doing in space. And when it comes to figuring out how you'll do these things in space, there's the parabolic flights you go on, where you experience weightlessness for 25 seconds at a time. But we never really take weightlessness training to do other things, like cleaning your teeth.

Twenty years of Google and Wikipedia, but the information is still not at our fingertips. And what if we could do it by indexing and creating a better entity map? On this episode, I interview Jude Gomil, Founder and CEO of Golden, the world's first self-constructing knowledge database built by artificial and human intelligence. We talked about how to think about, compile, and organize knowledge using both AI and humans. "One of the things that's been bugging me when I've been searching for things," Jude said, "is this: I've not found the information. It's been missing, scattered over the web, or fragmented in lots of different areas."

Your own business is likely living in what I'll call Scenario 1: Every customer inquiry and request has to be handled personally by your capable, well-trained human agents–even when the floodgates have opened due to a product glitch or similar event. Frankly, some of these inquiries aren't worthy of your agents and, anyway, in the floodgate situation, personnel constraints will make a timely human response quite literally impossible. So imagine a Scenario 2: In this scenario, the simple stuff, the 20% of inquiries that are straightforward, known issues or conform to fully learnable business rules or policies ("customer has requested a refund; customer deserves the refund because X conditions have been met") can be handled completely and nearly instantly (in less than a minute) and at a cost of under a dollar a ticket. Your well-trained, accomplished human beings agents never have to be troubled with these irritants, freeing them to work on more interesting issues, challenges more worthy of their time, attention and training. Enter Seattle-based AnswerIQ, an AI solution for customer support that promises to reduce ticket volume by 20% while significantly increasing first contact resolutions (FCR).