Modernizing defense logistics data requires more than replacing legacy systems. It requires a governed data architecture that can reconcile fragmented records, support authoritative outputs and prepare operational information for downstream digital and AI-enabled services. This session examines lessons from the U.S. Marine Corps Technical Data Management platform, developed to address product data challenges across more than one million parts and thousands of weapon systems.
The session will explore how a large-scale government program moved from obsolete mainframes, incompatible schemas and disconnected source formats toward a modern, cloud-hosted, non-relational data environment. Topics include establishing a single source of truth, ingesting multi-format data from PDF, XML, CAD graphics and legacy feeds, resolving data disparities and delivering trusted information to operational users.
Attendees will also learn how governance, role-based access, validation tooling and DevSecOps practices can support agility in high-compliance environments. The session will close by examining what it takes to make legacy logistics data AI-ready through semantic enrichment, federated access and intelligent search across parts, publications and configuration records.
