What question did this study set out to answer?

This research aims to explore how data and AI investments can create measurable commercial value in corporate and investment banking.

Strategic alignment of data and AI in corporate and investment banking : Driving value creation and competitive advantage

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Demonstrates how corporate banking aligns data and AI to enhance value creation, highlighting practical frameworks.

This research aims to explore how data and AI investments can create measurable commercial value in corporate and investment banking.
Examined the data-AI relationship and its economic implications
Developed a governance-first framework for deploying data-driven AI solutions
Provided metrics and architectural patterns for regulated environments
Outlined actionable outcomes to map KPIs to AI use cases
Identified a method for aligning commercial KPIs with AI initiatives
Established a checklist for essential data architecture for model deployment
Outlined a blueprint for integrating AI into end-to-end processes
Proposed risk controls for safe deployment of agentic AI
Presented a framework for evaluating and scaling AI initiatives.

Fournier et al. (2026) studied this question.

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