Day 1: Tuesday, 29 September 2026
The official mainstage frames Day 1 around agentic autonomy. The morning moves from enterprise AI deployment into robotics, foundation/world models, quantum and AI infrastructure. The afternoon shifts toward enterprise operating models, workforce implications and sustainability.
| Time (SGT) | Speaker / organisation | Programme focus |
|---|---|---|
| 09:00 | Tan Kiat How, Singapore Ministry of Digital Development and Information | Opening remarks and national digital-development context. |
| 09:35 | Sachin Chitturu, QuantumBlack, AI by McKinsey | Scaling agentic AI from pilots into enterprise operations. |
| 10:05 | Dr Nicolas Heess, Google DeepMind | General-purpose robotics and physical-world AI. |
| 10:35 | Prof Simon See, NVIDIA AI Technology Center | Foundation models, world models and next-generation compute. |
| 11:05 | Dr Joe Fitzsimons, Horizon Quantum | Quantum computing as an emerging enterprise technology layer. |
| 11:35 | June Paik, FuriosaAI | Infrastructure required for the next stage of AI deployment. |
| 12:05 | Laurence Liew, AI Singapore; Kaan Cetinturk, UNICEF | Moving AI from strategic vision to measurable organisational value. |
| 12:45 | Colin Bannon, BT Business / BT International | Why network architecture is becoming strategic for AI-ready enterprises. |
| 14:00 | Panel including Mercedes-Benz AG, HTX and others | AI-first enterprise models and growth-oriented deployment. |
| 14:55 | Deloitte and JPMorganChase | Employee enablement and organisational use of AI. |
| 15:30 | Andrea Vena, European SpaceTech and Sustainability Expert | Space AI, sustainability and large-scale digital systems. |
For AIDataCenterHQ readers, the 11:35 infrastructure session and the 12:45 network session form the clearest physical-infrastructure bridge, while the quantum and robotics sessions indicate future compute-density and architecture requirements.
Day 2: Wednesday, 30 September 2026
Day 2 is organised around production-grade scaling and operational certainty. The official programme emphasises enterprise readiness, governance, cyber resilience, trust and the institutional changes needed to operate AI safely at scale.
| Time (SGT) | Speaker / organisation | Programme focus |
|---|---|---|
| 10:00 | Laurence Liew, AI Singapore | Enterprise readiness for scaled AI deployment. |
| 10:30 | Marta A. Tomovska, National Assembly of Serbia | Governance and business innovation across national and enterprise systems. |
| 11:00 | Prof Dean Ho, Institute for Digital Medicine | Applied AI and personalised biological data. |
| 11:30 | Bjorn R. Watne, INTERPOL | Threat intelligence translated into board-level resilience strategy. |
| 12:00 | Shamane Tan, AMBA | Decision-making through digital complexity. |
| 14:00 | Shamane Tan and Cezary Piekarski, Standard Chartered | Security as a business enabler and trust layer for AI-era operations. |
For infrastructure leaders, the most durable Day 2 signal is that deployment architecture is being discussed together with governance, security and operational control rather than as a standalone compute decision.
Parallel theatres: what the complete programme covers
The event's specialist tracks make the programme much broader than the mainstage. Official schedules are dynamic, so this page uses a theatre-level map and representative sessions rather than reproducing the event organiser's full timetable.
| Theatre | Day 1 / Day 2 focus | Why it matters |
|---|---|---|
| Cloud & AI Infrastructure Keynote | Edge architecture, AI/cloud sovereignty, full-stack AI infrastructure, agentic architecture, physical AI, multi-tenant GPU-cloud operations and CloudOps. | Directly relevant to GPU cloud provider, sovereignty and infrastructure-sourcing decisions. |
| Enterprise Optimisation | AI assistants, human-AI collaboration, healthcare AI, workflow automation, agentic deployment and ROI. | Shows the application demand likely to drive future compute consumption. |
| DevOps Live | AI-powered development, secure AI agents, AIOps, multi-agent production diagnostics, developer supply-chain security and governance. | Connects software delivery practices to infrastructure reliability and security. |
| Data Strategy | AI-ready data, ethics, governance, pipelines, responsible AI, AI engineering and LLMOps. | Explains why storage, data movement and governance remain core infrastructure constraints. |
| Cyber Resilience & Innovation | Advanced threat detection, quantum-era security, trustworthy AI, cloud security and AI governance. | Relevant to data-centre and cloud risk, sovereignty and enterprise procurement. |
| Data Centre World Asia | AI-ready facilities, hyperscale development, energy, cooling, resilience, critical infrastructure and APAC market evolution. | The closest event track to AI data-centre infrastructure. |
Best agenda route for AI infrastructure and data-centre readers
A practical route starts with the mainstage sessions on AI infrastructure, networks and enterprise scaling, then moves to the Cloud & AI Infrastructure Keynote Theatre for sovereignty, full-stack infrastructure and GPU-cloud architecture. Data Centre World Asia should then be used to test those software and compute signals against facility constraints such as power, cooling, critical systems and regional capacity.
Readers focused on accelerator procurement can continue into GPU Clouds, H100, H200 and B200. Readers focused on geography should connect the sovereignty and regional themes with Country Intelligence.
What the two-day sequence says about the 2026 technology agenda
The sequencing itself is useful intelligence. Day 1 concentrates on capability expansion: autonomous systems, robotics, quantum computing, AI infrastructure, network readiness and enterprise adoption. Day 2 moves toward the controls required once those capabilities become operational: governance, cyber resilience, institutional readiness, trust and repeatable production processes. That progression reflects a broader enterprise shift from experimenting with models toward operating AI as durable infrastructure.
For data-centre and cloud buyers, the implication is that accelerator availability is only one part of the procurement problem. Production AI requires dependable networking, storage, observability, workload orchestration, security controls, data-governance processes and increasingly explicit decisions about where data and compute should reside. Those themes appear repeatedly across the Cloud & AI Infrastructure, Data Strategy and Cyber Security programmes, while Data Centre World adds the physical constraints of power, cooling, critical systems and regional capacity.
The agenda also suggests that infrastructure competition in Asia will increasingly be evaluated through a combined technical and policy lens. Hyperscalers, specialist GPU clouds, telecom-linked infrastructure providers and local data-centre operators may compete on more than raw compute price. Buyers may place greater weight on sovereignty, regional availability, network topology, operational control, energy resilience and the ability to support high-density AI systems. That makes the event relevant not only to technology teams but also to investors, market-entry planners and enterprise procurement leaders.
AIDataCenterHQ therefore treats the agenda as a signal map rather than a list of talks. The durable research question is which event themes are likely to change infrastructure demand after the conference. Follow-on cluster pages will examine those questions separately so the event coverage can remain useful after short-lived agenda searches decline.
Official programme sources and live-change note
Conference schedules can change during the event. This guide was researched on 30 September 2026 and should be used with the organiser's live pages: Mainstage Programme, Cloud & AI Infrastructure Programme, Big Data & AI World Programme, Cyber Security World Programme and Data Centre World Asia.
Adjacent professional and research questions may also require specialist sources. For technology-law context see US technology-law guidance, patent and technology-business analysis, patent commercialization resources and international patent resources. Research-oriented readers can use GIP Research publications and GIP Research Foundation resources; corporate technology strategy and legal context are available through TechCorpLegal and Advocate Rahul Dev.