Mainstage speakers: AI, quantum, enterprise and security

The mainstage is the event's cross-sector layer. It connects AI capability with deployment, networks, quantum, governance and security. The official 2026 programme names speakers from government, research, AI companies and global enterprises.

SpeakerOrganisation / roleWhy the role matters
Tan Kiat HowSingapore Ministry of Digital Development and InformationPublic-sector digital strategy and the policy environment for technology deployment.
Dr. Nicolas HeessAI and Robotics Team Lead, Google DeepMindPhysical AI and robotics create new requirements for compute, latency and data pipelines.
Prof. Simon SeeNVIDIA AI Technology CenterConnects foundation-model evolution with accelerator and AI-system architecture.
Dr. Joe FitzsimonsFounder & CEO, Horizon QuantumQuantum readiness and future computing architectures.
June PaikFounder & CEO, FuriosaAISpecialised AI silicon and alternative accelerator infrastructure.
Laurence LiewAI Innovation Director, AI SingaporeEnterprise adoption, national AI capability and production deployment.
Colin BannonCTO, BT Business and BT InternationalNetwork architecture as a constraint and enabler for AI-ready enterprises.
Bjorn R. WatneGlobal CISO, INTERPOLCyber resilience, threat intelligence and operational trust.
Cezary PiekarskiGroup CISO, Standard CharteredEnterprise security and risk controls for scaled digital operations.

Read the Tech Week Singapore 2026 agenda guide for the two-day programme context surrounding these speakers.

Data-centre and AI infrastructure leaders to watch

The official speaker directory has unusually strong representation from the physical infrastructure layer. That includes hyperscaler data-centre teams, operators, research firms, energy specialists and facility technology companies. For AIDataCenterHQ, this group is central because it links rising model demand to power, cooling, network and construction decisions.

SpeakerOrganisation / roleInfrastructure relevance
Andria ZouGlobal Senior Director of AI Data Center Strategies, NVIDIAAI data-centre strategy, accelerated computing and facility implications of dense GPU systems.
Andy LawrenceExecutive Director of Research, Uptime InstituteReliability, efficiency, resilience and data-centre operating benchmarks.
Cameron EvansDirector, Data Centre Planning and Delivery, AWSHyperscale planning, construction and delivery of cloud capacity.
Dr. Saji PKDirector of Data Center Operations APJC & Global Services, AWSOperations and service delivery across large-scale data-centre estates.
Asher LingCTO & GM of Malaysia & Singapore, Princeton Digital GroupRegional operator strategy across two important Southeast Asian markets.
Andy RigoliChief Sustainability Officer & Co-Founder, Digital Edge DCSustainability and operating strategy for Asian data-centre growth.
Emmeline TangCTO, Digital Edge DCTechnology architecture for data-centre platforms.
Govind ChoudharyGeneral Manager, Southeast Asia & India, Digital RealtyRegional capacity, colocation and interconnection strategy.
Eric FanCEO, Bridge Data CentresOperator expansion and capacity development in Asia.
Aiguo HanChief Commercial Officer, TM NxeraCommercial development of data-centre infrastructure in Southeast Asia.
James KellyVP Market Intelligence and Innovation, OCP FoundationOpen compute design, hardware standards and infrastructure efficiency.

This roster creates direct editorial bridges to AIDataCenterHQ's Data Centers, Cooling and Power sections.

Cloud, GPU and compute speakers

Another important group sits between physical facilities and enterprise applications. These speakers represent hyperscalers, cloud platforms, AI-chip companies and infrastructure teams that determine how accelerator capacity is packaged and consumed.

SpeakerOrganisation / roleDecision connection
Akshay KapoorAI GTM Specialist, Google CloudEnterprise AI deployment and cloud adoption.
Catherine WangForward Deployed Engineering Manager, APAC, Google CloudProduction implementation and applied cloud engineering.
Kaustubh PatwardhanRegional GTM Data Lead, JAPAC, Google CloudData architecture and AI-readiness across regional enterprises.
Eng-Hwa TanPrincipal Solution Architect, Amazon Web ServicesApplication modernisation and cloud architecture.
Ngai Wai ChungDirector, APJ Field Application Engineering, AMDAccelerator architecture and alternative compute platforms.
Alex LiuSVP, Product & Business, FuriosaAIAI silicon, inference economics and specialised compute.
Warren SchilpzandGM, Australia and New Zealand and ASEAN, SambaNova SystemsEnterprise AI systems and non-traditional accelerator stacks.

These roles connect naturally to the GPU Clouds cluster and provider profiles for AWS, Google Cloud, Azure and specialist AI clouds.

Power, cooling and sustainability voices

AI infrastructure growth is constrained by electrical capacity, cooling technology, water, site design and regional energy systems. The 2026 roster includes speakers whose roles sit directly inside those constraints.

SpeakerOrganisation / roleInfrastructure theme
Anthony AllardEVP and Chief Marketing & Sales Officer, Hitachi EnergyGrid infrastructure, electrification and power-system capacity.
Alain MahieuSenior Director, Energy & Sustainability, SingtelEnergy strategy and sustainability in digital infrastructure.
Celine XiaoRegional Power Lead, JAPAC, NTT Global Data CentersData-centre power architecture across the region.
Charles KohCOO, SembcorpEnergy systems and industrial infrastructure in Singapore.
Ken LauGeneral Manager, APAC, CoolIT, an Ecolab CompanyLiquid cooling and high-density AI systems.
Jon PettittSenior Director of Sales EMEA & APAC, Munters Data Center TechnologiesThermal management and data-centre cooling.
Jörg DeslerGlobal Director Technology, STULZ GroupCooling architecture for critical facilities.

The speaker mix shows that AI capacity discussions are increasingly inseparable from power and thermal engineering. That is particularly important for high-density B200 and future accelerator deployments.

Cybersecurity, governance and policy speakers

The event also places security and governance beside infrastructure rather than treating them as downstream issues. That matters for sovereign AI, regulated workloads, critical infrastructure and enterprise procurement.

SpeakerOrganisation / roleWhy it matters
Adeline TungDirector, Policy & Technology, IMDASingapore technology policy and the regulatory environment for digital infrastructure.
Aju Widya SariDirector of Digital Ecosystem Services, Ministry of Communication and Digital Affairs, IndonesiaRegional digital-policy and ecosystem development.
Ee Lin LimSenior Assistant Director, Cyber Security Agency of SingaporeCybersecurity policy and national resilience.
Ashish ThaparVP & Head of Cybersecurity Asia Pacific, NTT DataEnterprise cyber risk across regional technology environments.
Jason LauCISO, Crypto.com; Board of Directors, ISACASecurity governance and operational risk.
Kavickumar MuruganathanESG Policy & Planning Director, APAC, Cloud & Artificial Intelligence, MicrosoftPolicy, sustainability and cloud/AI infrastructure strategy.

What the speaker roster signals about AI infrastructure in Asia

The most important observation is not any single name. It is the distribution of roles. The roster brings together accelerator companies, hyperscalers, data-centre operators, energy providers, cooling specialists, banks, governments, cybersecurity leaders and AI researchers. That composition reflects the fact that production AI is now a system-level infrastructure problem.

Three signals stand out. First, the physical layer is prominent: facilities, power, thermal management and network architecture are represented alongside model and application discussions. Second, the roster is strongly regional, with Singapore, Malaysia, Indonesia and wider APAC infrastructure leaders appearing beside global cloud and technology companies. Third, security, policy and sustainability have become part of the same deployment conversation as compute.

For buyers and investors, that means provider evaluation cannot stop at GPU model or hourly price. Decisions increasingly require a view of capacity availability, interconnection, power reliability, cooling, regulatory constraints, data sovereignty, resilience and the ability to scale from experimentation to production.

AIDataCenterHQ interpretation: The 2026 speaker composition reinforces a shift from isolated AI software discussions toward integrated infrastructure strategy. That is consistent with the event's wider focus on what it calls the Infrastructure Era.

Official speaker and programme sources

Speaker roles can change close to an event. AIDataCenterHQ therefore uses the organiser's live directory and programme pages as the primary factual source and treats this page as a curated infrastructure-focused guide rather than an exhaustive roster.

Related AIDataCenterHQ intelligence

Continue with the Tech Week Singapore 2026 hub, the agenda and schedule guide, GPU Cloud Providers, Data Centers and Market Intelligence.

New 2026 show guides

Continue into Data Centre World Asia 2026 for power, cooling, AI-ready facilities and OCP infrastructure, or Cloud & AI Infrastructure Asia 2026 for enterprise AI, GPU cloud, AIOps, DevSecOps and platform engineering.