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While many banks have launched AI pilots, the real challenge is scaling AI across the enterprise. That requires modern infrastructure, trusted data, governance frameworks, and new operating models. This discussion will explore how banks are moving beyond experimentation to embed AI into core operations, developer workflows, risk management, and customer platforms—unlocking productivity gains and entirely new capabilities.
This panel will feature technology leaders and strategic partners who are building the AI-enabled bank at scale.
- The transition from AI experiments to enterprise AI platforms
- Data architecture for AI: lakes, models, governance, and lineage
- AI in developer productivity and software engineering
- Scaling AI responsibly: compliance, explainability, and model risk
- Building AI-ready infrastructure across cloud and core systems
- How banks measure enterprise-level AI ROI
- AI as an operating model shift, not just a technology deployment
- Partner ecosystems and where firms like Mphasis accelerate scale
LEADERS is a flagship channel that spotlights C-level executives and top experts as they discuss transformative topics for an audience of key decision-makers. We deliver thought leadership on the most pressing issues driving the future of financial services. The LEADERS series is made possible by the support from top industry collaborators including Mphasis.