Industry and government organizations are eager to find ways to combine structured and unstructured data to improve communications about national security threats to the public more effectively. Merging this information will enable the intelligence community (IC) to take advantage of the strengths of both data types and allow analysts to quickly search and assess structured data with the wealth of insights in the unstructured environment.
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U.S. intelligence must become more integrated and agile to address both growing threats and emerging technologies, according to a former defense intelligence official. This will require new approaches to leadership for integrating the community amid burgeoning capabilities and missions, says Lt. Gen. Robert W. Noonan Jr., USA (Ret.), former head of Army intelligence and current chair of the AFCEA Intelligence Committee. He adds that the biggest challenge for defense intelligence may be to leverage all of the U.S. intelligence community’s capabilities.
The new global threat picture has signaled the time for defense intelligence to come together in an unprecedented common operating picture. With the broader availability of new technology and the need to conduct globally integrated operations at scale and speed, U.S. forces must move away from stovepipe systems and operate more as an enterprise, posits Lt. Gen. Robert P. Ashley Jr., USA, Defense Intelligence Agency (DIA) director. “For us to be able to operate really as an enterprise, to be able to move information from the intelligence community level down to warfighters … and to be able to ingest that at the services, we must be much more interoperable than we’ve been in the past.”
At the top of the list of the tools that the U.S. intelligence community is expecting to help accomplish its future mission is artificial intelligence, or AI. It is being counted on to help the collection and sorting of the large amounts of data that are growing exponentially. However, like many of these tools, AI can be co-opted or adopted by adversaries well-schooled in basic scientific disciplines. As a result, AI can be a trap for unwitting intelligence officials, offers Bob Gourley, co-founder and chief technology officer of OODA LLC.
A $3,000 bounty awaits the developer who can come up with the best app to suit an intelligence community need, but time is short—the deadline for entry is Thursday, August 23, at 11:59 p.m., EDT. Known as the EPIC APP Challenge, the contest is open to schools or companies wielding a team of no more than five members.
Geospatial imagery as well as facial recognition and other biometrics are driving the intelligence community’s research into artificial intelligence. Other intelligence activities, such as human language translation and event warning and forecasting, also stand to gain from advances being pursued in government, academic and industry research programs funded by the community’s research arm.
The Intelligence Advanced Research Projects Activity (IARPA) is working toward breakthroughs in artificial intelligence, or AI, through a number of research programs. All these AI programs tap expertise in government, industry or academia.
A new approach to identifying key research targets could help bring nontraditional partners into the realm of developing advanced intelligence technologies and capabilities. It builds on the Intelligence Science and Technology Partnership, or In-STeP, which lays out road maps of key capabilities that can be exploited by government, industry and academia.
Commercial satellite companies are giving rise to a new space revolution, launching hundreds of small satellites into orbit to do what the U.S. military cannot or at least will not do: photograph practically every inch of the Earth every day. The result is an explosion of geo-enabled unclassified information that has turned the imagery-based discipline of geointelligence on its head.
This change could even produce a new breed of intelligence analyst that exploits imagery and geospatial data from the unprecedented fount of unclassified information.