As digital transformation accelerates and AI workloads place new demands on infrastructure, data centres are becoming increasingly complex to operate. Data centre infrastructure management (DCIM) is therefore evolving from a documentation tool into a real-time intelligence platform. In this interview, James Stuart, Head of EMEA & APAC at Nlyte Software, explains how infrastructure intelligence can improve visibility, strengthen operational resilience and support organisations in meeting growing sustainability and regulatory requirements.
The demands placed on data centres are evolving rapidly – driven by digital transformation, hybrid IT, and increasingly data-intensive workloads such as AI. How is the role of data centre infrastructure management changing in this context?
Data centre infrastructure management is evolving from a static documentation tool into a real-time intelligence layer for hybrid and high-density environments. As AI and digital services drive higher power densities and operational complexity, DCIM must provide accurate visibility across physical, virtual and edge infrastructures. Operators increasingly rely on DCIM to support faster decision-making, risk mitigation, and capacity optimisation across distributed environments. In this context, DCIM becomes a strategic platform that connects infrastructure operations directly to business and sustainability objectives.
Many organisations struggle with transparency and capacity planning across complex environments. From your experience, where do operators most frequently face operational bottlenecks?
Operational bottlenecks most often arise from fragmented data and disconnected operational processes. Many organisations lack a single, trusted source of truth for assets, power, cooling, and space, which limits accurate capacity planning. Manual workflows and inconsistent data updates further increase the risk of errors during moves, adds and changes. Without end-to-end visibility, teams are forced into reactive operations rather than proactive planning.
Nlyte Software focuses on visibility, lifecycle management of physical and hybrid infrastructures. How can DCIM contribute to improving resilience and reducing operational risk?
DCIM improves resilience by providing continuous visibility into infrastructure conditions, dependencies, and utilisation across the entire asset lifecycle. By understanding how power, cooling, space, and connectivity interact, operators can identify risks before they impact availability. DCIM also standardises workflows and change management, reducing human error during critical operations. This combination of intelligence and process control significantly lowers operational risk while supporting higher availability.
Sustainability and regulatory compliance are becoming core strategic priorities. How can infrastructure intelligence support organisations in meeting energy efficiency and reporting requirements?
Infrastructure intelligence provides the data foundation organisations need to comply with increasingly prescriptive sustainability regulations such as the EU Energy Efficiency Directive (EED). The EED requires data centres above defined power thresholds to report standardised energy and sustainability KPIs, including energy consumption, power utilisation, water usage, and waste heat metrics. Nlyte’s Data Center Sustainability Compliance Reporting supports these obligations through real-time sustainability dashboards and structured reporting aligned to regulatory KPI definitions. In markets such as Germany, where the Energy Efficiency Act (EnEfG) introduces additional requirements around efficiency targets, waste heat reuse and management systems, infrastructure intelligence enables consistent measurement, auditability, and evidence-based compliance across sites.
Looking ahead, which developments in data centre infrastructure management do you expect to shape the market over the next five years?
Over the next five years, data centre infrastructure management will increasingly shift from static reporting to real-time, AI-driven operational intelligence. Solutions such as Nlyte Intelligence Operational AI demonstrate how conversational, natural-language interaction can replace dashboards and manual analysis with immediate, trusted insight across assets, power, cooling, space, and network data. This evolution broadens access to infrastructure intelligence beyond traditional DCIM users and accelerates decision-making across operations, finance, facilities, and compliance teams. As environments grow more complex, the ability to ask questions and act on live data will become a defining capability of modern DCIM platforms.
