CDAO Singapore schedule

During this 5-minute networking session, the aim of the game is to go and meet three people you don't already know. Have fun!

• How leaders can drive organisational alignment to treat data as a strategic asset, not an afterthought
• Building trusted, accurate, and well-governed datasets that form the foundation for advanced analytics and AI
• Preparing infrastructure, talent, and processes to leverage emerging AI capabilities at scale

• Exploring how leaders can foster creativity while maintaining control and oversight
• Sharing strategies to align innovation with governance and risk frameworks
• Highlighting real-world examples of balancing agility with compliance

Moderator

Shanmuga Sunthar Muniandy Director of Architecture & Chief Evangelist, APAC Denodo

Panellists

Chen Huaxing Head, Group Wholesale Data Analytics UOB

Amaresh Mohan Chief Risk Officer Flutterwave

Rahul Patil ED, Head of Data Governance Office Sumitomo Mitsui Banking Corporation

• How agentic AI can automate entire business processes end-to-end, beyond isolated use cases
• Helping business leaders understand what AI can (and can’t) do to ensure relevant, high-impact applications
• Balancing rapid AI innovation with governance, ethics, and measurable business value

Moderator

Tarun Samtani Advisory Board Member IAPP  

Panellists

Tahir Zafar Global Head of Data & AI Strategy Nomura

Ankita Gupta Data, Analytics and AI Leader Standard Chartered

Natz Que CIO & CDO Kenvue

Yitong Chen VP Data Scientist & Analytics Validus

• Explores how the combination of AI and reliable data leads to remarkable business success
• Discover how advancements in master data management and AI governance can shape your future and prepare you for what’s next.

• Preparing teams to adapt and excel in fast-changing, high-scale environments
• Fostering a culture that embraces innovation, agility, and continuous learning
• Aligning people strategies with organisational growth and transformation goals

Speakers

Cher Jing Ting Head of Data Science SP Group

Shobana Ravisankar Director, Data & Analytics PSA International

• Market Trends: Explore the data challenge,where the opportunity lies for businesses and why it matters for AI.
• Strategic Implementation: Understand how organizations can effectively accelerate their data maturity journey
• Real-World Applications: Learn how Boomi can power your data value chain
• Future Outlook: Gain insights into the evolving landscape of AI and how businesses can prepare for upcoming challenges and opportunities beyond trusted data

• Embedding governance at every stage of the AI lifecycle to ensure trust and compliance
• Defining clear policies, accountability, and ethical guardrails for AI initiatives
• Aligning AI governance with business objectives to drive responsible and measurable impact

• Problem statement: Despite best efforts, true self-service remains elusive, hindered by governance bottlenecks, complex tooling, and lack of data literacy

• What we’ll explore: The key considerations, challenges, and complexities that organizations face today

• Key outcome: Forward looking strategies for democratizing data, empowering business teams to make confident, data driven decisions while reducing reliance on technical teams

• Demonstrating how strong governance drives not just compliance but strategic advantage
• Quantifying the impact of policies, controls, and oversight on business outcomes
• Linking governance practices to measurable value and competitive differentiation

• Showcasing how robust data foundations speed up AI adoption and innovation
• Highlighting case studies where data readiness drove measurable business outcomes
• Translating strong data practices into faster, more confident decision-making

This session explores how Gen AI case studies—across financial services, corporates, and beyond—are transforming decision-making, risk management, and competitive intelligence. Learn how to supercharge your AI models and turn information into impact.

• Enabling experimentation and rapid insights while maintaining compliance
• Implementing frameworks that balance creativity, privacy, and regulatory requirements
• Translating responsible data practices into sustainable business advantage

Most enterprises expect AI to drive growth and efficiency, but few are seeing meaningful results. This session explores how to turn agentic AI from scattered experiments into a systematic operational advantage. Learn how to connect AI to the full context of your business—data, people, and processes—so every employee can work faster, smarter, and differently. Walk away with a practical blueprint for deploying secure AI assistants and business agents that deliver measurable impact across departments.

• Navigating evolving regional and global data regulations to stay ahead of compliance requirements
• Managing the complexities of cross-border data flows while safeguarding privacy and security
• Addressing industry-specific governance challenges with adaptable, future-ready frameworks

Panellists

Cher Jing Ting Head of Data Science SP Group

Sankara Prasad Kondareddy Head of AI & Data Science Amplify Health

• Re-architecting legacy systems to support cloud, hybrid, and next-gen workloads
• Balancing performance, cost, and security while modernising data foundations
• Enabling future-ready platforms that accelerate AI adoption and business transformation

Speakers

Wouter van Groenestijn Data & Analytics Lead, APAC Cargill

Dinesh Ramchandani Director, Data & Analytics Unilever

Presentation of She Loves Data’s latest report on women’s participation in technology sector.

In a world overflowing with data, maybe the real challenge isn’t analytics itself, but how we see it. What if the clues to better analytics lie in how we live, decide, and make sense of life?

Life is an optimisation problem — every choice mirrors an analytical frame.

Like connecting scenes in a movie, analytics is about stitching data and context to understand experiences, not just events.

It’s all about attribution — and the question is, can we do a better job at it?

• Turning technology and data spend into quantifiable value for the organisation
• Implementing strategies to optimise efficiency, impact, and business alignment
• Measuring and communicating the returns of data investments to key stakeholders

• Assigning accountability for delivering business outcomes from data investments
• Bridging the gap between data leadership and financial leadership
• Should value realisation sit with business units, not central teams?

Moderator

Ban Horng Tan Head of Data Platform Solutions OCBC Bank

Panellists

Soumyajit Sarcar Head of Data & Analytics Product Development, Chief Data Office Nomura

Manish Kumar Head of Data Manulife

Bharath K. Sr. Director of Data & Analytics Delivery Hero

• Identifying how poor data quality drives hidden costs across operations, compliance, and customer experience
• Demonstrating the ROI of data readiness through reduced errors, faster decision-making, and stronger AI outcomes
• Building executive buy-in by linking data quality investments directly to business growth and risk reduction

Moderator

Shobana Ravisankar Director, Data & Analytics PSA International

Panellists

Monica Srinivasan ED, Data Conduct - Data Quality Standard Chartered

Soumyajit Sarcar Head of Data & Analytics Product Development, Chief Data Office Nomura

Sankara Prasad Kondareddy Head of AI & Data Science Amplify Health

• Tackling data consistency and governance challenges across multi-cloud, hybrid, and edge environments
• Ensuring accessibility and performance without compromising security or compliance
• Applying best practices to integrate, monitor, and optimise data flows across distributed architectures 

With AI accelerating rapidly, analytics remains the backbone of trusted decision-making. This session unpacks how teams can safeguard data accuracy, generate deeper insights, and evolve their capabilities to make high-quality data accessible for AI-driven use cases.

• Understanding the risks and inefficiencies created by fragmented and siloed data environments
• Exploring strategies and technologies to unify, integrate, and govern data across business units and systems
• Turning fragmented data into a strategic asset that drives accuracy, accessibility, and actionable insights

• Exploring operational and financial challenges of scaling data platforms
• Sharing practical approaches to optimise efficiency, reduce waste, and manage risk
• Highlighting lessons learned from organisations navigating rapid growth

Speakers

Hou Kiat Chao Deputy Group Head, Digital & AI Office SBS Transit Rail

John Burns Director, Data & Analytics APAC Yara International

Leaders ask a business question in plain English and receive a trusted chart, brief explanation, and next best action, without writing SQL. This session shares a governed, business-friendly approach that improves decision velocity while keeping data safe and costs in check.

• Exploring the concept of monetising data and analytics directly
• Lessons from organisations that generate revenue from their data
• Is this a future every enterprise can realistically pursue?

• Turning organisational values into concrete, ethical data management practices that build trust
• Embedding transparency, fairness, and accountability into every stage of data governance
• Ensuring responsible data practices drive both credibility and long-term impact

• Scaling reusable, modular data assets to accelerate business initiatives
• Driving agility and faster insights through well-structured data products
• Aligning data strategies with organisational goals to unlock measurable innovation

• Analyzing object shape data is a challenge across many disciplines, including computer vision and biology.

• Typically, the analytical method needs to be fast, accurate, lightweight, and scalable while remaining invariant to position and rotation of the object.

• This session talks about our shape embedding and its performances in various benchmark tests.

Presentation of She Loves Data’s latest report on women’s participation in technology sector.