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Thanks to our 2024 Speakers

Vinay Simha

Director and Principal Enterprise Architect
Philips | India

Ts. Jacky Cheong

Transformation Office – Head of Enterprise Data Governance (EDG)
CelcomDigi | Malaysia

Kristina Pia Delos Reyes

Lead Data Engineer
Spenmo | Singapore

Garrett Teoh

Regional Enterprise Architect
Allianz | Singapore

Dr. Usha Balasundaram

Head of Data Governance
S&P Global| Malaysia

Budiman Bujang

Head of Digital Strategy & Innovation
Johor Corporation| Malaysia

Derick Ohmar Adil

Head, Data Strategy And Data Operations
Globe Telecoms | Philippines

Shobana Ravisankar

Director, Data & Analytics
PSA BDP | Singapore

Venkat (Venkata Phani Kumar Veluri)

Head Data Management Strategy & Platform Services
PSA Petronas – PETCO Trading Sdn Bhd | Malaysia

Gurbani Singh

Senior Product Manager – Data Platforms
Kiwi Bank | New Zealand

Pham Thi Nguyet Nga

Chief Data Governance and Analytics Officer
General OCB | Vietnam

Senthil Kumar

Enterprise Data Architect
World Vision | Singapore

Wisely Chen

Chief Data officer
Ally Transport | Taiwan

John Thomas

Data Architect
Volvo cars | Sweden

John Bibal II

AVP, Head of Data Innovation & AI Strategy
Jollibee Foods Corporation | Philippines

Bandana Rath

Lead Data Architect
Philips | India

Shashank Handa

Enterprise Architect
Civil Aviation Authority | New Zealand

Su Jella

Vice President
Women’s Tennis Foundation | Australia

Atul V Mistry

Cloud Solution Architect
View Media Group Pty Ltd | Australia

Faris Almasri

Data Strategist & Advisor
Federal Tax Authority | Dubai

BE THE FIRST TO DISCOVER WHAT’S COMING NEXT

Unlock the Power of Data at the Data 2030 Summit APAC!

Unlock the
Power of Data 
at the Data 2030 Summit APAC!

Join us at the highly anticipated Data 2030 Summit and gain exclusive insights into the latest trends and developments in Data Management and beyond.

By attending this event, you’ll have the opportunity to discuss and learn about:

Operationalize Enterprise AI

Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.

Build Trusted Data Foundations

Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.

Create AI Ready Data Architectures

Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.

Turn Data Into Business Value

Learn how to operationalize trusted data into reusable data products, intelligent workflows, automation, decision intelligence, and measurable business outcomes across the enterprise.

Improve Data Quality for AI

Understand how organizations can strengthen observability, lineage, real time validation, and proactive data reliability to support trustworthy AI systems and autonomous workflows.

Modernize Data Management Practices

Gain practical insights into the latest approaches for governance operationalization, DataOps, semantic consistency, interoperability, AI enablement, and scalable enterprise data management.

Accelerate AI Readiness Across the Organization

Learn how leading enterprises are aligning business teams, data teams, architects, governance functions, and leadership around common operational AI priorities.

Reduce Complexity Across Modern Data Estates

Discover practical strategies for managing fragmented cloud, SaaS, hybrid, and legacy environments while improving scalability, interoperability, resilience, and architectural control.

Explore the Future of Enterprise Data Management

Stay updated on the latest enterprise trends including operational AI, AI agents, semantic architectures, contextual intelligence, data products, data observability, and AI ready governance.

Learn From Real Enterprise Implementations

Hear practical case studies, operational lessons learned, and implementation strategies from leading enterprises actively operationalizing trusted data and AI across their organizations.

Operationalize Enterprise AI

Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.

Build Trusted Data Foundations

Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.

Create AI Ready Data Architectures

Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.

Turn Data Into Business Value

Learn how to operationalize trusted data into reusable data products, intelligent workflows, automation, decision intelligence, and measurable business outcomes across the enterprise.

Improve Data Quality for AI

Understand how organizations can strengthen observability, lineage, real time validation, and proactive data reliability to support trustworthy AI systems and autonomous workflows.

Modernize Data Management Practices

Gain practical insights into the latest approaches for governance operationalization, DataOps, semantic consistency, interoperability, AI enablement, and scalable enterprise data management.

Accelerate AI Readiness Across the Organization

Learn how leading enterprises are aligning business teams, data teams, architects, governance functions, and leadership around common operational AI priorities.

Reduce Complexity Across Modern Data Estates

Discover practical strategies for managing fragmented cloud, SaaS, hybrid, and legacy environments while improving scalability, interoperability, resilience, and architectural control.

Explore the Future of Enterprise Data Management

Stay updated on the latest enterprise trends including operational AI, AI agents, semantic architectures, contextual intelligence, data products, data observability, and AI ready governance.

Learn From Real Enterprise Implementations

Hear practical case studies, operational lessons learned, and implementation strategies from leading enterprises actively operationalizing trusted data and AI across their organizations.

Request the Data 2030 Summit APAC PDF Agenda