DecisionModel API
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Technology ● Covered in 1 story + Follow
This profile is built automatically from TLDRocket coverage.
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Enterprise AI is shifting from clever demos to operational muscle, and today’s thread runs straight through orchestration, governance, and the plumbing that makes models survivable in the real world. IBM used its AI operating model for enterprise AI orchestration to frame what “production readiness” actually means: tying agent orchestration to data integration, hybrid operations, and sovereignty. IBM’s Sovereign Core, it says, maps more than 200 compliance frameworks to controls—an attempt to move oversight from policy PDFs into day-to-day system design. McKinsey echoed the same direction with an EcliptOS approach that builds a knowledge graph to encode business relationships and decisions, turning unstructured information into structured, programmatically usable context for generative AI.
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