Deep Thomas is Nomura’s Chief Data Officer and is responsible for leading the firm’s data and AI strategy and improving business outcomes from data, and to facilitate growth and digital innovation across the various divisions of the firm.
He has over 25+ years of experience in building and driving data and analytics practice and has served in senior digital transformation roles as Group Chief Data & Analytics Officer at Aditya Birla Group, Founder-CEO of Tata Insights & Quants, a Data Science company, and global leadership positions with top tier FS firms such as Citigroup, HSBC, and American Express in the US.
Deep holds an MBA in Marketing, MS & BE in Computer Science and has been granted 20+ patents in decision science.
Hall 3, Singapore EXPO
Premium
With AI playing an increasing role in financial services, establishing a thriving AI hub sets the stage for future success. This session explores the essential elements for the development of such a hub, covering key aspects of talent, infrastructure, research and regulatory support. It will uncover the key pillars needed for an AI hub to succeed, draw from lessons learned in Singapore's development to becoming an AI hub, and explore the considerations in establishing effective Centers of Excellence.
The Festival
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