Todd Probert, vice president for Raytheonâs (NYSE: RTN) intelligence, information and services business, said the U.S. military should focus first on data management and talent recruitment efforts before leveraging the predictive and analytic capabilities of artificial intelligence, C4ISRNET reported Friday.
âThereâs so much data available to the military, but itâs stored all over the place, and rarely in a format that is easily transferrable into an algorithm,â said Todd Probert, vice president for Raytheonâs (NYSE: RTN) intelligence, information and services business.
âIf the military wants to set itself up for success, they should focus on data curation, labeling and cleaning, as well as recruiting and training the data scientists necessary to make use of it,â Probert added.
He noted that the intelligence community should come up with AI models to facilitate analysis of external data from various sources.
âIn an ISR suite there can be as many as 15 chat rooms going at any time, with info coming in from various units and intelligence agencies,â Probert said. âThatâs too much data and crosstalk for a person to manage, so information is inevitably going to be missed. We need machine learning tools that can flag critical data and alert analysts to whatâs important.â
According to the report, the Department of Defense plans to spend nearly $1B on artificial intelligence and machine learning in fiscal year 2020, including $208M for the Joint Artificial Intelligence Center and $161M for the AI Human Machine Symbiosis Project.