
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
Featured Topics for the Day
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9:00 am
Registration & Refreshments
9:30 am
Opening remarks
9:40 am
Blue Sky Pitch: If We Could Build Anything...
10:10 am
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

Nitin Bhargava
Chief Data & Analytics Officer
Trust Bank

Shahzad Alam
Chief Data Officer
Citi Singapore

Gaurav Dixit
Chief Digital and Information Officer
Unilever

Puneet Chopra
Regional Head - Data, Digital and Technology for Growth and Emerging Markets
Takeda

Deepika Agrawal
Sleek, Head of AI Growth
Previously HelloFresh, Global Senior Director Growth & AI Product

Ross Macrae
Field CTO APJ
Tealium
10:50 am
The Governance Gap: Why Your AI Agents Need Oversight Before They Need More Models
Your organisation probably has more AI agents running right now than anyone in the room could actually name. Some are updating customer records. Some are triggering workflows. Most of them can't tell you what they did last week, or why. Gartner predicts over 40% of agentic AI projects will be scrapped by 2027 — and the post-mortems rarely blame the model. They blame the fact that nobody could see what the agent knew, what it touched, or who signed off on it acting at all.

Ram Tallavajhala
Principal AI Field Engineer
Boomi
11:10 am
Morning Tea & Networking
11:40 am
Interactive Scenario
12:10 pm
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

Vinod Joseph
VP AI/Data & Enterprise Architecture
Singtel

Marc Tzivelekas
Director, CFCC Data Conduct, Data Quality
Standard Chartered

Lubna Akhtar
Senior Director, Head of Data Science - Southeast Asia
VISA

Shiwam Divedi
Principal Machine Learning Engineer
FairPrice Group
12:50 pm
Lunch & Networking
1:30 pm
Interactive Workshops
How to Separate a Trustworthy AI-Generated Answer From a Confident-Sounding One
Switched off: what gets an agent pulled tomorrow?
From AI Ambition to Accountability: What’s actually working and what isn’t across the customer journey
The Human Bottleneck: How to Actually Get AI Adopted, Not Just Deployed
2:10 pm
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

Gaurav Shukul
Director- Digital Trade (PSA BDP)
PSA International

Adam Chee
Director (AI Development Office)
Singapore General Hospital

Meixi Ong
Vice President, AI Program
Certis

Ajai Jose
Senior Vice President - Gen AI & Machine Learning Business Solutions Lead
DBS Bank

Michal Polanowski
Head of Generative AI
ST Engineering
2:50 pm
Afternoon Tea & Networking
3:10 pm
90 Million Decisions a Month : How AI Powers Advantage in a Marketplace that Never Sleeps

Bharath Krishnamachari
Senior Director, Data & AI
Delivery Hero















