Six years ago, we decided to change the world of analytics. We were trying to answer a hard question—maybe an impossible one. Now, at least part of that vision is accomplished. We helped establish the new field of augmented analytics, got acquired, grew to 400 enterprise customers, and now the team behind the product has over 100 people.
Filip Dousek is a successful entrepreneur having sold his last company to Workday. He's also the author of Flock Without Birds, a two-part novel that challenges how the whole relates to its parts.
Rather than replacing workers, augmented analytics is proving to be saving people’s jobs. Filip will explain how it works, and why it’s all the rage in Fortune 100 companies and smaller businesses alike.
Stories, Filip's company, is solving the problem of extracting insights about people from massive
My favourite way to describe how to think about machine learning is as follows. Imagine sitting in a plane as it lands. It’s just a typical Boeing descending onto a Newark runway. The pilot hands the landing over to the autopilot. If one could look through the autopilot’s eyes, they would see not one, but millions of landings, all overlayed over the actual one. Past landings onto Newark. Past landings of Boeings at other airports, at various times and weather conditions. These millions of landings would give context to the actual landing, informing the autopilot about the best way to approach the runway, what’s normal, what’s an anomaly, what’s a known problem and known solutions to it, and when to abort. This is what a machine learning algorithm “sees,” and how it learns with each new landing happening around the world. Do you see those millions of landings enveloping you as you sit in that plane?
Once you start seeing that invisible web, several things happen. You grasp the aviatic context of your landing, which transforms your experience. It allows you to trust the autopilot and understand how safe you are. Each past landing is literally supporting you!
The latest natural-language system generates tweets, pens poetry, summarizes emails, answers trivia questions, translates languages and even writes its own computer programs.
The possibility of sharp jumps in intelligence also implies a higher standard for Friendly AI techniques. The technique cannot assume the programmers’ ability to monitor the AI against its will, rewrite the AI against its will, bring to bear the threat of superior military force; nor may the algorithm assume that the programmers control a “reward button” which a smarter AI could wrest from the programmers; et cetera. Indeed no one should be making these assumptions to begin with. The indispensable protection is an AI that does not want to hurt you. Without the indispensable, no auxiliary defense can be regarded as safe. No system is secure that searches for ways to defeat its own security. If the AI would harm humanity in any context, you must be doing something wrong on a very deep level, laying your foundations awry. You are building a shotgun, pointing the shotgun at your foot, and pulling the trigger.