In a recent WashingtonExec interview, Reinventing Geospatial®, Inc. (RGi®) CEO Stephen Gillotte discussed the current challenges and opportunities of how the government contracting industry partners with the Federal Government to augment human tasks with artificial intelligence (AI).
During the interview, Steve shared his thoughts on the common challenge of low-sample learning, or the ability to teach AI how to solve a problem without having many examples of the solution. According to Steve, “For federal agencies, especially those related to national security, low-sample learning is critical because many of the high-impact problems have few examples either because the events occur infrequently or staffing people to collect large numbers of examples is prohibitively expensive.”
Another big hurdle is around finding the right talent. “The number of [data scientists and machine learning experts] with both the expertise and the necessary clearances is small,” Steve said. “GovCon firms need to be ready to retrain existing staff and work with colleges and universities to identify future AI leaders.”
As for the abundance of future opportunities, Steve commented: “In my opinion, your data is always trying to tell you something; you just need to learn how to listen.”
To read the full article, visit the WashingtonExec website.