Today we hear more and more about Artificial Intelligence and the increasing role of robots in industry and society. I hear many concerns about the safety of these systems, but I also hear worries about jobs and decision-making. Algorithms are getting better and better are solving quite complex problems. So, in the future, who will make decisions, human or machine? And if an algorithm is making the decision, what happens to our jobs?
When Google's AlphaGo computer defeated a human champion in the insanely complex board game "Go" in March, experts were surprised by the computer's ability to recognize patterns and make quick, instinctive decisions – otherwise known to humans as intuition. Intuition, or gut instinct, is one of many hallmarks of business decision-making. Steve Jobs had no concrete evidence that the iPhone would be a success, but he saw patterns in the market, and in his mind, that convinced him that consumers would want it. AlphaGo's programmers set out to imitate that sense of intuition by first loading 150,000 prior matches between good players into the computer. Then they had AlphaGo play against itself endlessly.
While the standard pathway for Decision Science is to focus on data as a tool to make decisions and solve business problems. Decision Point has further augmented the current thinking by adding collated data through an augmented intelligence platform and applying human interpretive algorithms that enable expert context to establish both true meaning and trajectory in a real time manner.