Data Center Consolidation & AI Modernization
Merge fragmented regional data centers into unified nodes, eliminate COBOL and legacy monoliths with AI-accelerated re-platforming, and retrofit facilities for high-density liquid-cooled AI workloads.
Consolidation impact by sector
AI modernization of legacy defense logistics layers. Supply-chain provenance automation. Drastically optimizes troop readiness while meeting DoD records schedule.
Merge regional hospital databases into unified patient-data lakes. FHIR R4 standard as the canonical data model. AI-driven predictive health and population modeling.
Aggregate regional jail management records into state hubs. AI-assisted recidivism and threat profiling — with privacy impact assessments for algorithmic outputs.
AI-driven deterministic COBOL → modern language conversion. Eliminates technical debt accumulated over 40-year budget lock cycles.
Centralize localized base-station logic via Open RAN. Slash telecom footprint and per-site power costs through shared hardware pools.
Merge fragmented OT historian data into unified cloud data lakes. AI algorithms predict drill-bit wear, pump failures, and pipeline anomalies days in advance.
Replace low-density server blocks with high-density liquid-cooled AI rooms. Retrofit buildings for 40–100 kW per rack. Meet green energy and Scope 2 carbon mandates.
Combine disjointed county IT platforms into centralized state nodes. Eliminate wasteful, duplicate IT expenditure across procurement cycles.