Artificial Intelligence & Machine Learning Orchestrator

Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) describe the phases of the execution of an intelligence requirement.  The Space Delta 7 (DEL 7) architecture was built to execute the production line with each squadron focused on a specialization in the process. Today, the requirement is primarily manually acted upon, with some automation inserted along the TCPED production line.

DEL 7 requires an Artificial Intelligence/Machine Learning (AI/ML) Orchestrator to automate the activities throughout the enterprise from tasking the appropriate collection entities to providing customers with the final reports.  The Orchestrator will apply AI/ML, in concert with operator’s and analyst’s expertise and tradecraft, transform data into predictive insights, informing decision-making through modeling, simulation, and visualization. Further application of AI/ML and Tradecraft will enable tipping and queuing internally to DEL 7 and other organizations and agencies.

This will enable Joint leaders to anticipate responses and enable future decisions and actions with a higher degree of confidence. By transitioning to a “man on the loop” approach, we will accelerate decision cycles and close the kill chain/web more effectively.

Topics of Interest:

• Artificial Intelligence/Machine Learning Implementation & Integration
  • Crawlers and Scrapers:Automated tools for gathering data from repositories.
  • Mod/Sim/Vis Tools:Tools for modeling, simulation, and visualization of data and scenarios.
  • Data Analytics Tools:Tools for processing, analyzing, and extracting insights from data.
  • Tipping and Queuing Tools: Tools that will search across intelligence disciplines to determine if there are opportunities for multi-discipline collection of data for more robust analyst insights and reporting.
  • Dissemination Tools:Tools for generating reports and disseminating analysis results to relevant stakeholders.