The future of analytics in the era of AI: Enabling decision infrastructure

Traditional analytics delivery models increasingly struggle to meet the speed, governance and operational demands of AI-enabled enterprises. This paper explores how financial services organizations must evolve toward decision-engineered operating models where analytics, AI, governance, workflows and human oversight operate together within continuous decision loops. It introduces four interconnected shifts redefining analytics: embedded intelligence, agentic decision products, semantic and governance foundations and evolving workforce capabilities. As organizations scale AI adoption, the challenge is no longer simply scaling analytics, it is scaling analytics with trust. 

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