"We are the ones are going to alleviate the burden from those divisions and those division ODTs [operational data teams], so they can focus down and in and on their commanders' priorities,” said Michael Kaloostian.
“We've had to iterate and figure out what worked, what didn't work, different pathways, different APIs, different cross domain solutions, to find out okay, this is the best one, this is more reliable one, okay, let's turn the spigot on full blast to see what we get," Chief Warrant Officer 4 Sean Benson told Breaking Defense.
Do more with less: streamline workflows, reduce duplication, invest upfront to save long-term.
The new center, to be established in coming weeks, is the latest in the Army's war against inefficient sharing and poor "data management."
"We spent the last week training the AI models to recognize what we would call hulks out in the impact area — old vehicles that we shoot at ...," said Maj. Gen. Patrick Ellis, commander of 4th Infantry Division.
Outdated networks are colliding with the rise of AI and cloud, pushing the Pentagon to more secure low-latency transport.
Lt. Gen. Jeth Rey said the formations could "oversee that exchange of data, not only within the Army, but all of the joint services and our coalition partners."
Breaking Defense Europe will launch May 4 with Tim Martin and Elisabeth Gosselin-Malo as co-editors.
The demand for space, terrestrial, and surface/subsurface data at the edge requires networks to scale with fiber optics.
“Data needs to find fiber” is the only way to achieve secure ultra-low latency security for GovCloud applications and AI demand.
Achieve regulatory compliance and mission success with advanced security measures.
“The very fact of collocating the data in the same instance, or within the same environment or infrastructure, is very, very helpful," Manfred Boudreaux-Dehmer, NATO's CIO, said.
Government can’t stop to update systems, so modernization has to happen without interruptions.
Instead of demanding an exhaustive “AI Bill of Materials.” the Army will only ask contractors for a “baseball card” of key stats on their AI — while building up its in-house capacity to check for bad code or “poisoned” data.
The service’s new policy empowers “mission area data officers” for warfighting, intelligence, business operations, and enterprise IT, as well as institutionalizing what have been “ad hoc” data duties across the service, David Markowitz told Breaking Defense.
The service is also currently developing a risk management framework for Project Linchpin, the Army’s first program of record to help build out a trusted artificial intelligence/machine learning pipeline, according to Jen Swanson, deputy assistant secretary of the Army for data, engineering and software.
The Army first put out guidance two years ago on the idea of creating “data stewards” for its commands who would act as “kind of our spokesman for our supply side,” and will start codifying it in fiscal 2024, David Markowitz told Breaking Defense.