On February 24, the National Geospatial-Intelligence Agency posted the Request for Proposal (RFP) for Collection Matching Data Fabric (CMDF) on the classified Acquisition Research Center (ARC) website. Proposals are due by 12:00 p.m. Eastern on March 10, according to SAM.gov.
CMDF will deliver a data fabric construct connecting user needs to GEOINT suppliers, formed by interacting with disparate data currently generated by a variety of enterprise tools and technologies. The data fabric will function as a unifying data and business logic overlay spanning the NCM architecture. The new data fabric construct enables substantial workflow efficiencies by quickly aligning registered GEOINT suppliers against collection requests.
It will incorporate Artificial Intelligence (AI) / Machine Learning (ML) within the matching algorithms and within all the telemetry logic. The incorporation of deep learning analytics into the data fabric structure will provide analysts with more efficient supplier allocation decisions, resulting in higher probability of meeting their analytical intent. CMDF-delivered capabilities will be designed to accommodate all GEOINT suppliers including commercial, national, and other emerging sources.
CMDF will also enable the ability to measure mission utility based on allocation decisions through the use of business analytics and simulations to improve future needs to supplier allocation decisions. This information will enable NCM trending, diagnosing, and refinement of decision processes across the supply chain. The primary purpose of CMDF is to stand up the data fabric construct and infrastructure in an enterprise framework (such as CORE).
Review the full NGA CMDF RFP.
Source: SAM
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