As a result of the rapid development of the data center industry, there now is heightened demand for new build data centers as well as retrofitting, modernizing, and maintaining existing sites. This industry as a whole is also facing a workforce shortage of qualified technicians with appropriate skillsets to service these data centers. To overcome these challenges and ensure that our data centers are properly serviced and maintained, the service strategy needs to be planned during the initial design phases. We can no longer follow the traditional path of deploying hardware and waiting until the manufacturer warranties expire to start thinking about how we will service sites. The path forward is through proactive strategies, which will keep dispatches to a minimum, minimize risk and cost, and take IoT digitization into account from the beginning.

In this webinar, executives from Schneider Electric and Compass will discuss how enabling AI-based predictive analytics and condition-based maintenance, using extended reality technologies, and more will positively impact the way we operate and maintain our future data centers while reducing cost and risk throughout the data center lifecycle.

The need for small, dense fiber connections are crucial to efficient data center design. Parallel processing, as well as the need for high-bandwidth, low-latency transmission that’s crucial for AI data centers means doing more with fiber than might otherwise be acceptable. AI data center applications call for very small, flexible, bend-safe fiber. These demands are likely to increase as AI goes from nice-to-have to crucial technology underlying the fabric of modern civilization. Fiber technology and data center experts explain the latest innovations making fiber density a solvable problem.

The future of data center infrastructure is being monitored and maintained by two transformative and symbiotic technologies: DCIM (Data Center Infrastructure Management) and Digital Twins. In this roundtable discussion, you’ll learn how these increasingly pivotal and powerful tools for the design, monitoring and management of data center infrastructure complement and converge upon each other in modern AI computing environments.

Providing a technical examination of the evolution of smart data centers, during this session industry experts will explore:

• The foundational differences and overlaps between DCIM and Digital Twin technologies.
• How AI and machine learning are driving innovation in predictive analytics, real-time monitoring, and operational efficiency.
• Use cases demonstrating the synergies and differences between DCIM platforms and Digital Twin models in complex data center environments.
• Strategic insights for future-proofing data centers with a hybrid approach to these emerging tools.

For those engaged in optimizing legacy systems or designing next-generation data center facilities, this roundtable session will provide actionable knowledge to stay ahead in an increasingly automated and AI-driven infrastructure landscape.

Securing a data center is no longer about isolated systems or one-size-fits-all tools. Operators today need a layered physical security strategy that protects the perimeter, manages access, secures internal zones, and controls server room operations. In this session, we’ll break down these four essential layers and show how they work together to support uptime, compliance, and efficiency.

Alex Reichard will walk through each layer with real-world context, showing how unified platforms can help security teams detect risks earlier, streamline access control, and maintain compliance with evolving standards like NIS2, ISO 27001, and SOC 2. You’ll learn how modern technologies such as ALPR, biometric credentials, intelligent door hardware, and server cabinet access monitoring can work together inside a single operational view.

This session is ideal for professionals responsible for securing hyperscale, colocation, or enterprise-owned data centers. Whether you’re planning a new site or modernizing an existing one, you’ll come away with a clear framework to reduce security gaps, respond faster to incidents, and support long-term resilience and compliance across all sites.

Cloud computing and large data centers are trying to pack more computing power into a smaller space which is not easy. Power requirements go up as compute density increases and that in turn means more thermal energy that must be dissipated and why more efficient power delivery is required. This panel considers power technologies that are delivering more power more efficiently.

Data centers supporting the cloud have changed from racks of individual, self-contained 1U servers to thousands of different processing units sharing massive amounts of storage. Technologies like SAS, PCIe, NVMe and CXL are providing the connectivity and standards that make these systems possible as well as providing efficient, low cost solutions. This panel examines the technologies and impact on cloud server design and implementation.

As the demand for AI-driven workloads grows, so does the need for energy-efficient, resilient, and scalable data center infrastructures. AI workloads not only push power densities to new limits, but also demand innovative energy strategies to balance performance, sustainability, and cost. This roundtable will take a deep look into the critical intersection of energy innovation and AI-focused infrastructure. In this session, industry experts will discuss:

• Energy Challenges of AI Workloads: How AI accelerators, GPUs, and other high-density technologies impact power requirements and thermal management.
• Integrated Energy Solutions: From grid partnerships and onsite generation and renewables to modular power systems and advanced cooling techniques.
• Balancing Sustainability and Scalability: Leveraging AI and analytics for energy optimization while meeting ESG goals.
• Future Energy Trends: Insights into emerging technologies like hydrogen fuel cells, small modular reactors (SMRs), and energy storage for next-gen AI data centers.

The discussion will boost data center stakeholders’ knowledge of key elements to design and implement robust energy strategies that not only power AI workloads, but also align with operators’ long-term business and environmental objectives.

As AI reshapes the landscape of hyperscale and colocation data centers, the demand for efficient energy usage and advanced cooling solutions is more critical than ever. Join Nicholas Haddad, Sales Director with Motivair, as he explores the transformative impact of AI on data center operations and infrastructure. With generative AI rapidly gaining traction, the need for liquid cooling has surged to meet the increasing power demands of AI and high-performance computing. In this session, Nick will highlight the advantages of direct liquid cooling systems, utilizing coolant distribution units (CDUs) to effectively manage heat while often complementing traditional air-cooling methods.

Attendees will learn about the importance of careful planning and collaboration with a robust ecosystem of partners to ensure successful deployments, addressing challenges such as downtime, skill set gaps, and equipment protection. The discussion will delve into the complexities of integrating liquid cooling into both brownfield and greenfield data center projects, emphasizing that there is no one-size-fits-all solution.

As operators seek innovative strategies to leverage existing facilities and adapt to next-generation computing needs, real-world use cases will be presented, showcasing how AI is powering advancements across various industries. Examples include enhancing autonomous driving systems in automotive, optimizing robotics in industrial applications, improving 3D printing processes in manufacturing, and advancing real-time patient imaging in healthcare.

Data center computing power demand is estimated to reach 800 TWh by 2026, roughly equivalent to Japan's electricity consumption, mainly due to the increased use of AI. In this context, data center owners, motivated by operating cost and sustainability imperatives, are looking to reduce their energy footprint through novel approaches.  

In this webinar, we will present a holistic Virtual Twin approach to tackle this issue. This involves integrating and coupling HVAC and IT systems into a single evolving model, capturing the behavior of the data center during its operation. This model provides essential information in order to predict and optimize the allocation of load within a room, taking into account its thermal behavior to reduce day to day energy consumption. The same model can also be used to observe and plan for future hardware upgrades, ensuring that the thermal envelope of the room, and its resulting energy consumption post upgrade, remain within specifications.  

Throughout the presentation of this Virtual Twin, we will touch upon:

• Modeling and simulation of equipment (HVAC, Direct Liquid Cooling (DLC) system  & servers)
• Modeling of the computer room, including the cooling systems and the IT
• Coupling of airflow simulations (CFD) with DLC systems to improve cooling efficiency
• Extension to IT (application load) / Facility coupling for an holistic approach of the analysis of the energy efficiency

As power densities rise and sustainability demands grow, liquid cooling has emerged as a transformative, inflection-point technology for modern data centers supporting booming AI demands. From edge deployments to sprawling campus facilities, liquid cooling technologies are redefining how data centers manage heat and maximize performance.

This roundtable will take an in-depth exploration of the latest advancements, applications, and strategies for deploying liquid cooling across diverse data center infrastructure types. The discussion will cover:

• Edge to Campus Data Center Use Cases: How liquid cooling solutions are tailored for small-scale edge sites, to medium-sized colos and large-scale wholesale and hyperscale environments.
• Technology Deep Dive: A closer look at direct-to-chip cooling, immersion cooling, and hybrid approaches for varying operational needs.
• Efficiency and Sustainability: The role of liquid cooling in reducing energy consumption and water usage while meeting ESG goals.
• Deployment Insights: Best practices, challenges, and lessons learned from real-world liquid cooling implementations.

Whether you’re planning for higher-density workloads, scaling edge infrastructure, or reimagining campus-level efficiency, this roundtable will provide actionable insights to guide your approach to data center liquid cooling.