Data-Driven Data Centres

Power availability, rising energy costs and growing sustainability expectations are placing increasing pressure on data centre operators to get more from existing infrastructure. Cooling is central to that challenge: as AI and high-performance computing drive higher rack densities, operators need better visibility over how cooling, water and other critical systems are performing in practice.

This webinar will explore how improved measurement, monitoring and predictive maintenance can help data centres reduce energy loss, strengthen reliability and make better operational decisions. The discussion will consider the role of instrumentation across cooling and water systems, the move from reactive to predictive maintenance, and how real-time data can support more efficient and resilient operations.

Hosted in partnership with Endress+Hauser as part of the Data Centre Energy Summit programme, the session will bring together operators, developers and technology specialists to examine technologies and strategies for making efficiency gains, as well as the key role of enhanced operational insight in unlocking them.

Key discussion areas:

• Responding to rising energy costs, constrained power availability and increasing operational pressures

• Improving visibility across cooling, water and other critical data centre systems

• Monitoring flow, temperature, pressure and fluid levels more effectively

• Supporting the transition to direct-to-chip and CDU-based liquid cooling

• Identifying inefficiencies and reducing avoidable energy loss

• Moving from reactive maintenance towards predictive and condition-based approaches

• Using device-level data to protect uptime and reduce unplanned disruption

• Applying leak detection and real-time monitoring to manage operational risk

• Turning sensor data into actionable insight through digital platforms and IIoT tools