What Is Natural Language Processing (NLP)? Meaning, Techniques, and Models

Greater Emphasis On AI At NGA

The National Geospatial-Intelligence Agency, led by Vice Adm. Frank Whitworth, USN, is employing even more artificial intelligence (AI) in the collection and analysis of geospatial intelligence (GEOINT).

The director spoke at the GovMilSpace 2025 event that is part of the Satellite 2025 conference, held in Washington, D.C., March 10-13.

"This year, it's got to be AI," Whitworth emphasized. "We are talking about the true acceleration of AI this year."

For the last eight or nine years, the National Geospatial-Intelligence Agency (NGA) has been working to implement AI and machine learning, seeing where best to apply human-machine teaming, along with computer vision, data analytics, advanced data visualization and other methods of automation. Early on, the agency worked with the then-director of national intelligence's Augmenting Intelligence Using Machines and the Department of Defense's (DoD's) Joint Artificial Intelligence Center, which integrated into DoD's Chief Digital and Artificial Intelligence Office in 2022.

The NGA is building on this foundation, so much so that "we have themed 2025 to be NGAI," the director said, playing on the NGA's name.

And to support the implementation of AI throughout the organization, the agency has added three key roles: a director of AI standards (Mark Munsell); the director of AI programs (Trey Treadwell); and director of AI mission (Ret. Col. Joseph O'Callaghan, USA).

"Trey [Treadwell] is the chief acquisition executive, so it makes sense that as we implement a program executive officer approach, we are making sure that every dollar counts for this program of record, and that it is our chief of capabilities and our acquisition executive that's in charge of AI programs," Whitworth noted.

O'Callaghan, meanwhile, is stationed at Fort Bragg, North Carolina. Before he retired from the Army, he was in the 18th Airborne as the chief of fires. He will meld his experience overseeing the Corps Joint Fires and Targeting Enterprise and subject matter expert on algorithmic warfare as a defense intelligence senior leader for the NGA, and he will remain at Ft. Bragg.

"When you have a single pane of glass that combines both an intelligence and an operational pane of glass into one, this ensures that you have situational awareness," Whitworth explained.  

In addition, O'Callaghan was instrumental in the use of Maven. "We decided that it's probably best at this juncture, given all of the work that he had already accomplished and the work he already had at Fort Bragg to go ahead and keep him there."

The efforts of these officials would be in addition to the agency's marquee program, NGA Maven, which began in 2017 as the Navy's Project Maven, as well as the Analytic Services Production Environment for the National System for GEOINT, known as the NGA ASPEN project.

NGA ASPEN is a program of record that began in May 2023 as a five-year modernization effort for intelligence production. According to the agency, "it is meant to address the near tripling of GEOINT data coming to NGA's analysts."

And as Whitworth notes, "both of those have been going well."

Lastly, the director noted that the NGA is not immune to the turmoil of the Department of Government Efficiency, or DOGE, efforts to cut the federal workforce, Whitworth said.

The director sees the NGA staff as incredible professionals who are not only meeting their daily mission operational needs but also rising past the uncertainty of employment.

"While we might be in a period of transition, they are handling all of this professionally," he stated. "I'm really proud of the fact that if you went to the daily 'ops and intel' update today, it would be exactly the same as it would have been a week ago, a month ago, two months ago. And as leaders, we are just doing our best to be very communicative and make sure that they know everything we know."

Cisco, Nvidia Partner On Joint Architecture For The Creation Of AI Data Centers

Building on their February announcement, the two companies have revealed Cisco Secure AI Factory with Nvidia with two different deployment options for enterprises.

Cisco Systems and Nvidia are building on their existing relationship with the introduction of an "AI factory" architecture with security at the heart of the offering, the two companies revealed on Tuesday.

Cisco Secure AI Factory with Nvidia will help enterprises build and secure data centers to develop and run AI workloads, "dramatically" simplifying the process for these businesses, the two companies said.

The announcement builds on Cisco and Nvidia's February partnership news that involved the joint development of Ethernet-based networking offerings for AI data centers.

[Related: Cisco's AI Momentum Driving Infrastructure Deals To The Tune Of $700M in 2025: CEO]

The new offering will "transform" AI factories meticulously designed to power AI workloads, using co-optimized architecture from Cisco and Nvidia, Cisco's Chief Product Officer Jeetu Patel said in a blog post published on Tuesday on the news.

"Our partnership with Nvidia is expected to offer organizations unmatched flexibility and agility, embedding security from the application and the workload to the underlying infrastructure. Whether you're at the beginning of your AI journey or looking to scale existing infrastructure, Cisco Secure AI Factory with Nvidia will provide scalable, high-performance solutions that adapt to your unique requirements. With customizable modular components and proven reference architectures, we intend to empower you to design and deploy AI infrastructure that aligns seamlessly with your business goals," Patel said in the post.

There will be two deployment options available, including the vertically integrated deployment option and the modular deployment option. The vertically integrated deployment option is based on Cisco Nexus Hyperfabric AI and includes Cisco 6000 Series Switches, accelerated compute with Cisco UCS C885A M8, based on the Nvidia HGX platform with Nvidia H200 GPUs, Nvidia BlueField-3 DPUs and SuperNICs, the Nvidia AI Enterprise software platform, VAST Data Storage, and Cisco Optics.

The modular deployment option, on the other hand, will include customizable components, such as Cisco UCS C885A M8 and C845A M8 servers, based on the Nvidia HGX and MGX platforms with Nvidia H200 GPUs, and managed by Cisco Intersight, Nvidia BlueField-3 DPUs and SuperNICs, Cisco Nexus 9000 Series switches managed by the Cisco Nexus Dashboard, future Cisco switches with Nvidia Spectrum-X, managed by Nexus Dashboard, the Nvidia AI Enterprise software platform, storage from Nvidia-Certified partners Pure Storage, Hitachi Vantara, NetApp, and VAST Data, Open Source containerization and automation solutions from Red Hat, and Cisco Optics.

"AI factories are transforming every industry, and security must be built into every layer to protect data, applications and infrastructure," said Jensen Huang, Nvidia's founder and CEO said in a statement. "Together, Nvidia and Cisco are creating the blueprint for secure AI—giving enterprises the foundation they need to confidently scale AI while safeguarding their most valuable assets."

All deployment options will include protection via Cisco's security offering that are

Offerings based on the Cisco Secure AI Factory with Nvidia architecture are expected to be available for purchase before the end of calendar year 2025, the companies said.

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