[WEBINAR] Identifying Early Warning Signs of Cooling Issues With Artificial Intelligence and Machine Learning Software Tools12 min read

by | Jan 13, 2021 | Blog

Presented by Dean Boyle, Joint Founder and Chief Executive Officer of EkkoSense and Stu Redshaw, Joint Founder and Chief Technology Officer of EkkoSense  

Most organizations are either unaware of the thermal risks that lurk in their data centers or think they are adequately covered because they have a good Building Management System (BMS) in place. Conversely, they may also be hesitant to properly address certain issues as they worry it might highlight bad practice or cause them more work to resolve, resulting in more expense. Utilizing emerging Artificial Intelligence (AI) and Machine Learning (ML) technologies, software systems now exist to complement BMS systems to identify and manage away thermal risk from mission critical facilities. By removing thermal risk and underpinning cooling optimization projects, these software systems can finally give data center managers ‘thermal peace of mind’. This presentation will examine how these emerging software systems are utilizing AI and ML to remove thermal risk and optimize the cooling infrastructure of mission critical facilities.

Real-time monitoring, data-driven optimization.

Immersive software, innovative sensors and expert thermal services to monitor,
manage, and maximize the power and cooling infrastructure for critical
data center environments.

 

Redefining Data Center Power and Cooling Optimization

Immersive software, innovative sensors and expert thermal services to monitor,
manage, and maximize the power and cooling infrastructure for critical
data center environments.

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