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 2
Invite-Only
Artificial intelligence (AI) presents the opportunity to revolutionise financial services, and change how operations, risk management, and customer engagement can be conducted. With most global financial institutions already embracing AI, the industry is poised for transformative change.
This roundtable promises a dynamic exchange of ideas between top regulators and leading financial institutions from Asia and Europe, focusing on the latest trends, challenges, and opportunities surrounding AI and its regulation on a global scale. Participants will delve into the dual perspectives: that of financial institutions striving to embrace this technology as swiftly as possible, and the regulator's viewpoint on the burgeoning demand for specific AI regulation.
Two key questions will be explored by participants:
- What can financial institutions expect from regulators as they navigate their AI journeys (including both hard laws and best practice guidelines)?
- How can we create the right conditions to catalyse responsible AI innovation and experimentation?
Through this discussion, we aim to uncover common ground and formulate a path that encourages and supports AI innovation and experimentation in financial services, while simultaneously establishing the necessary safeguards and mechanisms to ensure ethical and responsible AI practices.
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