DBS is nominated in the Transformative Innovator of the Year category at the Qorus-Infosys Finacle Banking Innovation Awards 2025. We asked the bank to present its strategy and actions in terms of transformation.
What transformation strategy has your organization led in recent years?
DBS’ award-winning Digital Transformation Journey is underpinned by the Data & AI Industrialisation Programme - a centrifugal force that drives a strong data-driven strategy within the bank – one that is focused on maximising value from data and analytics.
Its success has enabled innovation at scale with data and AI, across BU/SUs, by creating and providing centralised frameworks, capabilities, tools etc. to units across the bank. A highly successful, it is currently in its 4th phase of delivery:
Phase 1: Foundation – Standardised practices and templates, Data Science Workbench in place.
Phase 2: Democratisation – Building enterprise capability with DBS AI Protocol and growing the reusable products and assets repository.
Phase 3: Industrialisation – Scaling use of AI through self-service infrastructure and use of AI products and assets.
Phase 4: Unlocking GenAI at scale –Tapping the potential of unstructured data, coupled with structured data, to enable a new class of data-driven use cases.
What prompted this strategic transformation?
Prior to the launch of AI industrialisation, analytics capabilities were only available in small pockets with no centralised thrust on industrialising data and analytics practices for cross learning and collaboration. The programme therefore focuses on three areas:
- Increase scale and make it pervasive across all parts of the bank
- Continue to reduce the effort and cost it takes to develop and deploy AI solutions in the background
- Deliver exponential economic outcomes with these solutions
As we compete in an AI driven world, the programme builds enterprise data and AI capability, to drive adoption and application of traditional and GenAI use cases across the bank– enabling business models to be built with AI at the center, with the outputs informing processes across the bank.
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