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Closing the Enterprise AI Context Gap | ECI Research

Closing the Enterprise AI Context Gap with Relational AI

AI, Application Development, Decision Intelligence, Enterprise Applications, Machine Learning /

The enterprise AI market is discovering that larger models don’t fix a broken context architecture. Relational AI CEO Molham Aref argues that closing the AI value gap requires executable, relational context grounded in business semantics. ECI Research examines the implications for IT decision-makers managing token economics and developers building production-grade agent systems.

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AI FinOps in 2026: Why Runtime Cost Governance Can't Wait

AI FinOps in 2026: Why Runtime Cost Governance Can’t Wait

AI, Application Development, Cloud, Events, FinOps, FinOps X 2026, Platform Engineering /

At FinOpsX 2026, Revenium co-founder Jason Cumberland argued that traditional FinOps tools are architecturally mismatched to AI token economics. Real-time runtime telemetry, not retrospective billing analysis, is the emerging requirement. ECI Research analysis connects this shift to broader FinOps maturity patterns across the enterprise.

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