For AI and ML systems, quality data is needed to separate “the signal from the noise.” To process this data, SOF require technologies that provide automatic ingestion, metadata tagging, indexing, storage, synchronization, fusion, deduplication, mining, and dissemination of data collected by widely dispersed SOF resources. Data repositories require the ability to run AI/ML algorithms against the datasets to reduce analyst workload and rapidly deliver answers to warfighter problem sets. What are SOF’s requirements for emerging developments of these systems? How can SOF best identify, acquire, and utilize these data acquisition and management systems?