The Data & AI Summit Singapore 2026 brings together data, analytics, and AI leaders to explore machine learning, data strategy, and the impact of AI-driven innovation across industries in Singapore and beyond.
Delegates
Speakers
Sessions
Bringing data leaders with fresh perspectives to the stage.
The pace of change in data and AI is redefining how organisations operate, compete, and create value. The Data & AI Summit brings together senior data, analytics and AI leaders across generative and agentic, to explore how emerging technologies are reshaping business models, decision-making, customer experiences, and enterprise operations.
Designed to foster cross-industry collaboration and practical insight-sharing, this Data & AI event will examine how organisations are moving beyond experimentation to embed big data and AI into the core of strategy, operations, and innovation, driving data driven outcomes at scale.
Across the day, leaders will gain insight into the latest advancements in modern data foundations, governance, and operating models, alongside the real world practical lessons, challenges, and opportunities shaping the next era of intelligent business. We will dive deeper into AI and ML innovation, including neural networks and reinforcement learning.
Meet our Speakers
Senior Director of Data & Analytics
VP AI/Data & Enterprise Architecture
Group Director - Global Data Transformation
Global Head of Data, AI & Automation
Head of Data Science
Technical Innovation Leader
Featured Topics for the Day
View Agenda
8:30 am
Registration & Refreshments
9:00 am
Welcome Remarks
9:10 am
Attendee Spotlight
Black Mirror Pitch: If We Can Build It... Should We?
9:40 am
Panel Discussion
Panel Discussion
A Leadership View: Where Data Investments Pay off (& Where They Don’t)
Honest reflections on which data bets are actually delivering ROI, and which have been costly distractions
The hidden costs of scale – from talent and infrastructure to governance and change management, what leaders wish they’d known earlier
Redefining value beyond efficiency, and where the next big wins (and pitfalls) are likely to emerge
Kelly Yoong
Chief Data Officer
Sentosa Development Corporation
Ram Kumar
Senior Executive, Data & AI CoE
Prudential plc
Nitin Bhargava
Chief Data & Analytics Officer
Trust Bank
Shahzad Alam
Director, Data & Analytics, Banking & International
Citi
10:20 am
Case Study
Case Study
From Experimentation to Enterprise Scale: Deploying GenAI and AI Agents
10:40 am
Morning Tea & Networking
11:10 am
Interactive Scenario
Interactive Scenario
11:40 am
Panel Discussion
Panel Discussion
Fixing the Foundations: The Data Challenges Slowing Modern Organisations
Reducing duplication, improving data quality, and making data easier to access across the organisation
Lessons from untangling fragmented systems, inconsistent reporting, and governance processes that slow delivery
Building data foundations that enable faster decisions, smoother operations, and scalable digital growth
Sean Tan
Head of Data Science
Changi Airport
Vinod Joseph
VP AI/Data & Enterprise Architecture
Singtel
Marc Tzivelekas
Director, CFCC Data Conduct, Data Quality
Standard Chartered
12:20 pm
Case Study
Case Study
Unlocking the Value Trapped in Your Data
12:40 pm
Lunch & Networking
1:20 pm
Interactive Workshops
Interactive Workshops
Context is king: how metadata and data governance build trustworthy AI
Cutting through the AI noise to drive smarter, faster business decisions
Building a human-centered, AI-powered organisation with AI agents and automation
Bridging the gap: overcoming barriers to AI-driven efficiency in data delivery
Harnessing agentic AI to accelerate productivity & performance
Security of critical infrastructure: internet, cloud, and culture in an intelligent world
2:00 pm
Panel Discussion
Panel Discussion
When Agents Become the Operating Model : How Leaders are Re-Architecting the Enterprise
How foundation models and multi-agent systems are shifting organisations from isolated AI tools to coordinated human-and-agent operating models
Re-designing workflows, decision-making, and operating structures as agents begin executing and coordinating work across enterprise systems
Lessons from deploying agentic AI at scale, including orchestration, oversight, accountability, and the evolving role of human judgement
Keerthi Kumaravelu
Group Director - Global Transformation
Dyson
CP Lee
Technical Innovation Leader
Resorts World Sentosa
Ram Thilak
Global Head of Data, AI & Automation
Suntory
2:40 pm
Case Study
Case Study
Scaling AI Responsibly: Balancing Innovation, Risk, and Governance
3:00 pm
Afternoon Tea & Networking
3:20 pm
Keynote
Keynote
90 Million Decisions a Month : How AI Powers Advantage in a Marketplace that Never Sleeps
Bharath Krishnamchari
Senior Director of Data & Analytics
Delivery Hero
