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CDAO’s Alpha-1 Portfolio Contributes to Advancement of Pentagon’s AI Technology Development

Navy Capt. Xavier Lugo, who leads the Department of Defense Chief Digital and Artificial Intelligence Office’s Task Force Lima, discussed how CDAO’s Alpha-1 portfolio of enterprise tools and capabilities is playing a crucial role in laying the foundation for the development of artificial intelligence and machine learning technologies. As per a report by Federal News Network, Alpha-1 has gained significant momentum in providing AI and ML scaffolding, including features like data labeling as a service, test and evaluation, and federated model catalogs.

Lugo highlighted that data labeling was the first capability that Alpha-1 had rolled out for DOD services and components. He pointed out that data labeling was identified as a significant gap across the department, even though some program offices had their own data labeling services. However, these services came with certain restrictions and limitations, such as data ownership and sharing concerns.

The data labeling services offered by Alpha-1 are critical to supporting various projects within the U.S. Navy, Coast Guard, and Marine Corps. For instance, the services are being used for the Navy’s Project Harbinger, the Coast Guard’s maritime object detection efforts, and the Marine Corps’ Smart Sensor program. Through these initiatives, the DOD is leveraging Alpha-1’s capabilities to enhance its AI and ML deployment and drive innovation in defense technology.

Overall, Lugo emphasized that Alpha-1 plays a vital role in helping DOD agencies develop AI and ML technologies efficiently while addressing some of their unique challenges related to data ownership and sharing concerns.

In conclusion, CDAO’s Alpha-1 portfolio of enterprise tools is proving to be an essential asset in laying the foundation for artificial intelligence (AI) development within government agencies such as DoD. The initial capability rolled out by Alpha-1 was data labeling as a service which has been identified as a significant gap across various departments within DoD despite having their own data labeling services with certain restrictions

By Samantha Jones

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