Comment:  AI Result on "Data, Analytics, and Artificial Intelligence Adoption Strategy"  -- Searched 30 Oct 2024.

Last Year AI Announcement:  https://www.defense.gov/News/News-Stories/Article/Article/3578219/dod-releases-ai-adoption-strategy/

Key Document:  https://media.defense.gov/2023/Nov/02/2003333300/-1/-1/1/DOD_DATA_ANALYTICS_AI_ADOPTION_STRATEGY.PDF

AI Office CDAO:  https://www.ai.mil/  

CHIEF DIGITAL AND ARTIFICIAL INTELLIGENCE OFFICE

Press Release CDAO Forum 30 Oct 2024:  
https://www.defense.gov/News/Releases/Release/Article/3952008/dod-chief-digital-and-ai-office-hosts-responsible-ai-in-defense-forum/

AI Search Result:

Data, AI Adoption Roadmap

The Department of Defense (DoD) has released its Data, Analytics, and Artificial Intelligence Adoption Strategy, aiming to accelerate the adoption of advanced AI capabilities to maintain decision superiority on the battlefield. The strategy prioritizes an agile approach, emphasizing speed of delivery, continuous learning, and responsible AI development.

Key Components:

1. AI Hierarchy of Needs: The DoD has outlined six goals to achieve:
   • Invest in interoperable, federated infrastructure
   • Advance the data, analytics, and AI ecosystem
   • Expand digital talent management
   • Improve foundational data management
   • Deliver capabilities for enterprise business and joint warfighting impact
   • Strengthen governance and remove policy barriers
2. Adopt-Buy-Create Framework: The strategy will adopt solutions already sponsored by Joint or Component organizations, then explore open-market capabilities. When DoD-owned shared services are unavailable, it will challenge vendors to solve specific business and mission problems, designing acquisition strategies to avoid vendor lock-in. Finally, DoD customers with clean, high-quality data can seek commercially available analytics and AI capabilities while retaining appropriate data rights.
3. Data Ecosystem: The DoD aims to foster commercial competition and collaboration in developing and deploying AI-enabled systems. It will only create its own solutions when commercial solutions and applications cannot meet specific mission needs.
4. Decision Advantage Outcomes: The strategy focuses on five outcomes:
   • Superior battlespace awareness and understanding
   • Adaptive force planning and application
   • Fast, precise, and resilient kill chains
   • Resilient sustainment support
   • Efficient enterprise business operations

Implementation:

The DoD’s Chief Digital and Artificial Intelligence Officer (CDAO) will work to break down barriers to data and AI adoption, create enabling digital infrastructure and services, and selectively scale proven digital and AI-enabled solutions for enterprise and joint use cases. The CDAO will also surge digital services for rapid response to crises and emergent challenges.

Conclusion:

The DoD’s Data, Analytics, and Artificial Intelligence Adoption Strategy aims to accelerate the adoption of advanced AI capabilities, ensuring U.S. warfighters maintain decision superiority on the battlefield. The strategy’s focus on an agile approach, responsible AI development, and a data ecosystem that fosters commercial competition and collaboration will enable better and faster decision-making across the DoD.