Sameer Gupta is responsible for driving Analytics & Data at DBS Group, as the Chief Analytics Officer. He is instrumental in conceptualising and is driving the “AI Fuelled Bank” aspiration at DBS with 4 key areas of focus:
1) Driving business impact and building advanced analytics capabilities
2) Driving culture change, across the bank, to leverage data & analytics
3) Enabling data through modern data governance processes, including pioneering responsible data use and model governance (DBS' PURE framework)
4) Building a fit for purpose modern hybrid data platform (Advancing DBS with AI or ADA)
Sameer has 20+ years of banking and financial services experience across advanced analytics, AI/ML, commercial excellence, strategic marketing, customer experience, change management and pricing.
Before joining DBS in 2014, he was at IBM, where he was the Customer Care & Insights Solutions Leader for banking clients in ASEAN. Prior to that he spent 16 years at GE Capital, in various roles of across Asia and Europe. His last role with them was as Chief Marketing Officer & Business Leader for GE Money Singapore. At GE, he led large transformation initiatives in areas such as customer centricity, new product introduction, process reengineering, lean six sigma, acquisition integration, analytics and outsourcing.
He holds a MBA from the Indian Institute of Management, Calcutta India and is a GE certified Six Sigma Black Belt.
He has lived and worked in India, UK and Singapore. He currently lives in Singapore with his wife and 2 boys.
Roundtable Room 3, Sands Expo & Convention Centre, Level 4
Invite-Only
The challenges of data localisation and cross border data flow restrictions are emerging issues that large financial institutions are navigating as they expand their global footprint. The FSB’s stocktake of international data standards for cross-border payments in September 2023 highlighted feedback from the private sector regarding the rapid increase in data localisation measures and mirroring requirements.
Data localisation policies are driven by differing and legitimate public policy objectives including for operational resilience purposes, data security or to protect against cyber security threats. However, restrictive data policies may pose significant compliance costs and additional operational complexity that may also compel some cross-border market participants to leave certain markets, or act as a barrier to entry for smaller players which could potentially affect the availability and access to financial services.
This roundtable is intended to be an interactive session, including audience polls and surveys, to understand the challenges faced by the private sector in navigating the complex data regulatory landscape, deep dive into technology and policy solutions as well as best practices from public-private collaboration that could help financial institutions unlock effective cross-border data sharing whilst meeting public policy objectives behind data flow rules.
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