Menu

Project Announcement: Artificial Intelligence and Machine Learning Applications for Data Analytics – Phase V

The US Department of Defense is partnering with industry and academia on a multiphase CTMA initiative to assess and demonstrate 1) the impact of an agile software solution that supports decision making through data analytics using AI/ML techniques and 2) their effect on modernization, maintenance and sustainment, and readiness of current and future operations.  Specific goals for the software are to:

  • Demonstrate advanced analytics algorithms through implementation into information management tools.
  • Enable real time analysis and interpretation of diverse data sources to derive actionable intelligence.
  • Ensure interoperability and compatibility with existing systems and infrastructure.
  • Demonstrate the effectiveness of modern AI/ML capabilities and their impact on organizational decision making.

Phase V will build on the successes of earlier phases, with a focus on preparation of predictive models to forecast future trends and potential operational bottlenecks based on historical data.

If you feel your organization has the technical capabilities and would like to be considered for this project, please complete the form below and upload your organization’s technical capabilities statement.

Interested Submissions Due by 8/6/24.

We encourage participation of Disadvantaged Business Enterprises (DBEs), including Minority Business Enterprises (MBEs) and Women’s Business Enterprises (WBEs).

    Primary Contact


    Disclaimer and other Legal Information

    Responding to a Project Announcement does not guarantee that an NCMS initiative will result.
    By submitting a response, you are agreeing to allow NCMS to share your information with the United States Government. All submissions containing proprietary information must be secured and marked accordingly.
    Submitted information will be handled in accordance to NCMS data handling best practices. NCMS will not be held responsible for any spillage of confidential or proprietary information provided.