At the Tactical Edge with DataShapes

DataShapes will enable many industries to advance the utility of their edge assets, but this week we zero in on the security and defense industries, and take a quick look at how DataShapes’ edge-device software is helping defense operations at the tactical edge.

Consider this from David Spirk, the Defense Department's chief data officer:

“If you don't organize your data, if you can't create repeatable, testable, and trusted data workflows from the tactical edge all the way up to your senior-most, decision-making activities, then you will just lag behind."

The problem is that the lack of a supporting infrastructure prohibits compute-intensive operations in the field. Worse, the tactical edge does not produce organizable data—it produces unstructured sensor output, which isn’t really data at all. Now, throw in the fact that these operations are being undertaken in a non-permissive or combat environment, and you can pretty much forget about any sort of meaningful response.

How, then, do we get to Spirk’s vision for data-driven combat operations?

The answer is a more agile, more efficient, edge-embeddable approach to data transformation and intelligent automation—one that doesn’t need access to a network to conduct complex cloud operations. Such an approach would not only provide organized data and organic actionable intelligence for the warfighter, but would do it in real time.

Sound too good to be true?

Meet DataShapes’ patented Vector Learning™ technology, purpose-built software that performs real-time, serverless transformation and “on-the-fly” learning on tactical edge data. From small tactical units all the way up to strategic command centers—anywhere that a timely response is critical to the mission—DataShapes provides auditable, intelligent automation for the tactical edge.

Want to know more? Connect with me on LinkedIn.

Logan Selby
President, DataShapes

New standard issue combat helmet for the US Army.