Upcoming Industry Events

Fireside Chat: Malaysia Data Center Market Outlook 2026-2030: From Hyperscale Growth to AI Infrastructure Hub

Date: October 22, 2026 | 11:30-11:50 AM

Speaker: Patrick Chan, Managing Director, South Asia, Uptime Institute

This fireside chat explores the market outlook through 2030, examining investment trends, regional growth, power readiness, and the opportunities and challenges that will shape Malaysia's position as a leading AI infrastructure hub.

Wednesday Keynote: Energy Management in AI Data Centers – What’s the Same and What’s Different?

Date: October 28, 2026

Speaker: Jay Paidipati, Vice President, Energy & Sustainability, Uptime Institute

As artificial intelligence workloads increasingly migrate into enterprise and colocation data centers, operators and facilities managers must evolve their energy management strategies. The infrastructure principles that have governed efficient data center operations for decades are no longer sufficient on their own. AI data centers present a distinct set of challenges, ranging from high power densities driven by GPU and accelerator clusters to thermal profiles that strain conventional cooling architectures. This session explores how energy management must be recontextualized as rack densities routinely exceed 30–100 kW, compared to the 5–15 kW typical of legacy deployments. It examines how this shift demands a fundamental rethink of cooling strategies, from precision air management to direct liquid cooling and immersion systems. Attendees will gain an understanding of the operational and infrastructural differences between traditional compute environments and AI-optimized facilities, with a focus on energy efficiency as both a cost imperative and a sustainability mandate. We will review which traditional metrics remain relevant, identify the new metrics that must be considered, and discuss where the underlying data should be sourced. Participants will leave with a practical framework for benchmarking AI facility efficiency, evaluating cooling infrastructure investments, and integrating sustainability metrics into operational decision-making. The goal is to create facilities that can support the demands of modern AI while minimizing environmental impact and maintaining operational efficiency.

Session: How AI Compute Density Is Reshaping Data Centre Cooling Markets, Architecture, and Investment Decisionsg

Date: November 9, 2026

Speaker: Jacqueline Davis, Research Analyst, Uptime Intelligence

Panel: AI Sets the Pace for Data Center Cooling

Date: November 19, 2026 | 11:05 - 11:55 AM

Speaker: Hichem Djebali, Director, Uptime Institute

The rise of artificial intelligence is disrupting the status quo in data centers, particularly when it comes to cooling, which has become a critical issue in terms of performance, cost, and sustainability. Between increasing workload density, new architectures, and energy requirements, AI is no longer content to simply be hosted—it is imposing its own rules and redefining thermal strategies.

This roundtable discussion will explore how operators are adapting—and, in some cases, struggling to keep up—in the face of these technological and environmental pressures.

• The Surge in Thermal Demands Driven by AI Workloads: GPUs, Density, and Extreme Hotspots.
  Liquid cooling, immersion cooling, free cooling: Which technologies are truly essential?
• AI in Cooling: Real-Time Optimization or a Promise That’s Still Overhyped?
• Energy Efficiency vs. the Race for Power: A Balance That Remains Difficult to Achieve.
• Sovereignty and Data Center Deployment: What Climate and Regulatory Constraints Apply to Cooling?

Panel Session: Are our workforces trained and skilled for AI demands?

Date: November 19, 2026 | 10:55 - 11:40 AM

Speaker: Matthew Hawkins, Vice President of Global Education, Uptime Institute

Location: Strategy Stream - Room 1

Keynote: Beyond AI Readiness: Future-Proofing Digital Infrastructure Through Resiliency

Date: November 26, 2026 | 2:40 PM - 3:00 PM

Speaker: Dhanawat Mokmongkolkul, Sales Director, Uptime Institute

Location: Plenary Hall

Explores how organizations can build resilient, AI-ready infrastructure that supports long-term business success. As AI workloads introduce higher power densities, liquid cooling, and faster technology refresh cycles, traditional data center approaches are no longer sufficient. This session examines the operational, governance, and workforce strategies needed to ensure resilience from design through operations, while highlighting best practices and practical guidance to help organizations deploy AI infrastructure with confidence, reliability, and operational excellence.