Data-Centric Analysis

Raytheon (Booth 1760) brings data-centric analytics to GEOINT 2017. “It used to be that it was harder to get the right data to solve the problem because of a lack of data,” said Luis Martinez, director of National Geospatial-Intelligence Agency (NGA) programs for Raytheon. “Now it’s the complete opposite. You’ve got to find the right data [from the deluge] to solve the problem. All of this leads toward automated (data) collection and automated analytics,” Martinez said.

With that understanding, Raytheon is working with NGA on the Cognitive Analytic Virtual Assistant (CAVA) project, intended to help analysts gather the data they need. CAVA technology conducts research into machine learning algorithms that learn from analysts how best to automate some of their activities in support of data gathering and analysis. Raytheon is also researching data brokering capabilities, which are important in analyzing, storing, and parceling out data.

In its exhibit, Raytheon offers an interactive video wall that includes information about machine-to-machine intelligence mission management for satellite constellations, problem-driven collection, complex event processing, and automated production.

“[The Symposium] is a great opportunity not just to see what other companies are bringing forward, but to meet with customers and learn their needs,” Martinez said.

Jane Chappell, vice president of Raytheon Global Intelligence Solutions, agreed.

“Our goal is to take what we learn from the Symposium and innovate solutions to directly address those challenges,” she said.

Raytheon BBN Technologies, a subsidiary of Raytheon, is also in the booth demonstrating its language translation analytic service.

Image courtesy of Raytheon.