Operationalizing AI in 2026 - An APAC Perspective

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2026 is already reshaping how AI-powered organizations operate across APAC.

Autonomous agents are scaling. Machine-driven decisions are increasing query volumes. Real-time expectations are now business-critical. And the infrastructure built for the last decade of digital growth is under pressure.

The question isn’t whether AI will transform operations. It’s whether your data architecture can support it — today.

Join Confluent’s top experts as they explore how AI is evolving across APAC and what leading organizations are doing to adapt their data foundations for speed, scale, and resilience.

What You Will Learn

The new technical realities of AI in 2026
Why traditional databases won’t survive the query surge
Modern data architecture solutions optimized for speed, scale, and resilience
How to operate with confidence within regional regulations
Practical steps to future-proof your data ecosystem

Who Should Attend

CTOs, CIOs & IT leaders at the forefront of AI strategy
Data architects and platform engineers designing and building real-time systems
Developers and technical teams adopting agentic AI

Justin LeePrincipal Solution Engineer, Confluent

Justin is a Principal Solutions Engineer with a background in networking and infrastructure, and now spends his days helping businesses design and architect complex distributed data systems.

Nick DeardenDirector of Engineering, Confluent

Nick Dearden is a technology and product leader at Confluent, where he enjoys leveraging many years of experience in the world of data and analytic systems to help design and explain the power of a streaming platform for every business. Prior to Confluent, he led the data platform group for a leading online real-estate seller and was chief architect for a cloud-based financial analytics platform. His early career stretches all the way back through multiple data warehouse and business intelligence adventures to the green-screen days of mainframe banking systems.

Andrew FooVP, CSG, APAC

Andrew Foo is Vice President for Customer Solutions in Asia Pacific at Confluent and leads the solutions engineering, customer success and professional services functions across the region. He helps organisations implement modern data architectures by connecting apps, data systems with real-time data flows and processing that real-time applications and AI need for today’s business landscape.