Session
How Much Is Enough: Streaming Data, Strategic Sufficiency, and the Platform for the War We Can Win
This session introduces a real-time decision framework for strategic planning under constraints. We present the Cognitive Mission Alignment Model (CMAM) and its operational engine, the Cognitive Vector Analytics Platform (CVAP), which uses streaming data and symbolic modeling to continuously assess posture and generate decision-ready options.
CMAM represents posture as cognitive vectors—mathematical structures encoding capability, cost, latency, resilience, and risk. Structured and unstructured data, including telemetry, policy documents, and intelligence feeds, are transformed into a common vector format, enabling live comparisons and updates as conditions evolve.
CVAP identifies posture drift, evaluates alignment, and produces structured options for force design, investment, and prioritization. Agentic AI, as described in “The Era of Experience,” allows the system to learn continuously and recompute sufficiency as missions and constraints shift.
Through a Western Pacific scenario, attendees will see how posture is continuously recalculated as missions evolve and constraints shift. The system is designed to reflect what Charles Hitch called the requirement that “defense decisions cannot be divorced, in peace or war, from political, economic, and technological considerations.” This is not a dashboard; it is a decision engine for coherent, adaptive strategic governance.
This session is designed for the technical and the non-technical.
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