Panel - Trends & Challenges Re-Shaping the APAC Data Centre Landscape: 2025 – 2030 Outlook 

The global data centre market is undergoing rapid transformation driven by technological advancements, evolving business needs, and an increasing demand for data storage, processing, and connectivity.  

This panel provides a comprehensive view of the key trends, challenges, and innovations shaping the future of the data centre industry, allowing stakeholders to gain a better understanding of the evolving landscape to stay ahead of the curve and capitalise on these emerging technologies. 

Key Discussion Points: 

• Trends & challenges: comparison across different regions

• Future of data centre design: Importance of flexibility and scalability in data centre design

• Catching up with AI revolution

Panel – AI Integration in Data Centre Management for Operational Excellence 

Rapid growth in AI is driving massive capacity expansion in data centres as it is being integrated into data centre operations for optimisation, automation, and predictive maintenance. AI helps in real-time monitoring, load balancing, power optimisation, and predictive analytics to prevent failures and improve operational efficiency.  

With the increasing need for data-driven insights and automation, AI’s ability to analyse large volumes of data in real-time can provide optimal power and effective cooling methods.  

Key Discussion Points: 

• Optimising server workloads to accommodate global data explosion 

• Automating routine tasks and predicting maintenance needs 

• Accommodating increasing demand for storage & energy 

Panel - Renewable Energy and Sustainability: Powering the Data Centres of the Future 

The data centre industry is increasingly recognising the importance of sustainability, both for environmental reasons and to reduce operating costs. Integrating renewable energy into data centre operations is becoming crucial, especially as data centre demand continues to grow. 

This panel will help attendees identify more options for reducing their environmental impact and improving energy efficiency. 

Key Discussion Points: 

• Renewable energy adoption and carbon-neutral goals. 

• Mitigating the energy consumption challenges of modern data centres. 

• Exploring innovations to meet global sustainability targets. 

Panel - Next-Gen Cooling Technologies: Innovations and Challenges 

Cooling technologies have become a critical aspect of data centre operations, as they directly impact energy consumption. With global concerns about climate change and environmental footprint of large data centres, there is an increasing push towards green data centres that utilises efficient cooling systems and environmentally friendly designs. 

 This panel will examine the advances in cooling technology and its benefits while also discussing how can data centres meet AI’s energy needs without compromising performance.  

Key Discussion Points: 

• Exploring the latest advancements in cooling technologies. 

• Improving energy efficiency through server virtualization.  

• Managing the intense heat of AI with efficient cooling solutions. 

Panel - Edge Computing and Its Impact on Data Centre Architecture  

Edge computing is rapidly changing the data centre landscape, bringing computation and data storage closer to the users and devices generating data. This shift is driven by the increasing demand for low latency applications, real-time data processing, and the need for data sovereignty in certain regions.  

This panel will discuss the new approaches to management, security, and resource allocation, as well as the development of new technologies and infrastructure to support the increased connectivity and data processing needs at the edge. 

Key Discussion Points:  

• Enhanced user experience: Reducing latency for real-time applications  

• Enabling the proliferation of IoT use cases 

• Circumventing bottlenecks with diversification of sites 

Panel - Data Centre Financing and Investment Trends: Preparing for Future Growth 

Demand for data centres is expected to continue its growth trajectory in APAC, even more so with continued government support and digitisation initiatives. Furthermore, with the proliferation of AI, there is a strong need for investment in energy-efficient and innovative digital infrastructure to unlock its full potential. 

This panel hopes to unlock new opportunities in paving the way for more data centres to be set up, particularly in the Asia Pacific region to accommodate its increasing demand, coupled with trends like cloud adoption, 5G, fintech and e-commerce. 

Key Discussion Points: 

• Overview of the infrastructure demands for expanding data centres in APAC region 

• Key investments needed in networking, grid infrastructure and edge facilities 

• Role of public-private partnerships in driving future growth 

• Managing long ROI timelines in an evolving tech landscape 

Panel - Integrating AI in Data Centre Management for Operational Excellence 

Rapid growth in AI is driving massive capacity expansion in data centres as it is being integrated into data centre operations for optimization, automation, and predictive maintenance. AI helps in real-time monitoring, load balancing, power optimization, and predictive analytics to prevent failures and improve operational efficiency.   

With the increasing need for data-driven insights and automation, AI’s ability to analyze large volumes of data in real-time can provide optimal power and effective cooling methods.   

Key Discussion Points:  

• Optimising server workloads to accommodate global data explosion  
• Automating routine tasks and predicting maintenance needs  
• Accommodating increasing demand for storage & energy   

Panel - Managing the Complexity of AI Infrastructure Integration with Legacy Hardware

As AI workloads demand unprecedented computational power, data centre operators face the complex task of harmonising new, high-performance systems with aging infrastructure. 

This panel aims to address the critical challenges and strategies surrounding the integration of cutting-edge AI infrastructure with existing legacy hardware. 

Key Discussion Points: 

• Optimising resource allocation across heterogeneous environments 
• Addressing latency and bandwidth bottlenecks  
• Exploring cost-effective upgrade pathways