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Dec 16, 2020
With the volume, variety, velocity and complexity of data threatening to overmatch systems sifting through ever increasing amounts of data, intelligence and defense agencies are looking for new approaches to solving data-intensive problems.
Currently, data the intelligence community focuses on is increasingly sparse, random and heterogeneous, creating data-intensive problems that today’s computers were not designed to solve, the Intelligence Advanced Research Projects Activity (IARPA) said in a Dec. 11 broad agency announcement.
IARPA’s Advanced Graphic Intelligence Logical Computing Environment (AGILE) program seeks to transform “massive, random, heterogeneous data streams and structures into actionable knowledge.“ That task will require “system-level intelligent mechanisms for moving, accessing and storing large, random, time-varying data streams and structures that allow for the scalable and efficient execution of dynamic graph analytics workflows,” the
With current computer systems struggling to keep pace with ever more complex workloads, intelligence and defense agencies are looking for new approaches.