The agency, Hallman said, has significantly improved its “anticipatory intelligence,” using a mesh of sophisticated algorithms and analytics against complex systems to better predict the flow of everything from illicit cash to extremists around the globe. Deep learning and other forms of machine learning can help analysts understand how seemingly disparate data sets might be linked or lend themselves to predicting future events with national security ramifications.While intelligence analysts have access to CIA’s own classified data stores to sift through, they’re also increasingly turning to open data sets, which Brennan has said this summer have turned into a “tremendous advantage” for the agency.“We have, in some instances, been able to improve our forecast to the point of being able to anticipate the development of social unrest and societal instability some I think as near as three to five days out,” said Hallman, speaking Tuesday at The Next Tech event hosted by Government Executive and Nextgov

Source: CIA Can Anticipate Social Unrest ‘Three to Five Days’ Out in Some Cases – Nextgov.com