Data_Flood: Helping the Navy Address the Rising Tide of Sensor Information
Abstract
U.S. Navy intelligence, surveillance, and reconnaissance (ISR) functions have become critical to U.S. national security over the last two decades.1 Within the Navy, there is a growing demand for ISR data from drones and other sources that provide situational awareness, which helps Navy vessels avoid collisions, pinpoint targets, and perform a host of other mission-critical tasks. The amount of data generated by ISR systems has, however, become overwhelming. All of the data collected by the Navy and available from other sources, both government and commercial are potentially useful, but processing them and deriving useful knowledge from them are severely taxing the analytical capabilities of the Navy s humans and networks. As the Navy acquires and fields new and additional sensors for collecting data, this big data challenge will continue to grow. Indeed, if the Navy continues to field sensors as planned but does not change the way it processes, exploits, and disseminates information, it will reach an ISR tipping point the point at which intelligence analysts are no longer able to complete a minimum number of exploitation tasks within given time constraints as soon as 2016.2
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2014
- Accession Number
- ADA603572
Entities
People
- Bradley Wilson
- Erin-elizabeth Johnson
- Evan Saltzman
- Isaac R. Porche Iii
- Shane Tierney
Organizations
- RAND Corporation