Day one of the first Cognitive Computing Forum in San Jose, hosted by Dataversity, gave a great perspective on the state of cognitive computing; promising, but early. I am here this week with my research director Leslie Owens and analyst colleague Diego LoGudice. Gathering research for a series of reports for our cognitive engagement coverage, we were able to debrief tonight on what we heard and the questions these insights raise. Here are some key take-aways:
1) Big data mind shift to explore and accept failure is a heightened principle. Chris Welty, formerly at IBM and a key developer of Watson and it's Jeoapardy winning solution, preached restraint. Analytic pursuit of perfect answers delivers no business value. Keep your eye on the prize and move the needle on what matters, even if your batting average is only .300 (30%). The objective is a holistic pursuit of optimization.
2) The algorithms aren't new, the platform capabilities and greater access to data allow us to realize cognitive for production uses. Every speaker from academic, vendor, and expert was in agreement that the algorithms created decades ago are the same. Hardware and the volume of available data have made neural networks and other machine learning algorithms both possible and more effective.