[WEBINAR] How Artificial Intelligence and Machine Learning Can Optimize Data Center Performance13 min read
Presented by Lars Strong, P.E., Senior Engineer and Company Science Officer, Upsite Technologies and Tracy Collins, Vice President of Sales, Americas, EkkoSense
As data centers have adapted to many changes over the past couple of years, managing sites with limited on-site personnel has become a new challenge. Because of this, a renewed focus by data center managers has been placed on remote monitoring and management solutions to help ensure operations continue to run as efficiently as possible. And while legacy monitoring and DCIM solutions provide some resolve to this issue, ever-changing needs and requirements by data centers are driving much change and innovation in this segment of the industry. This session will examine the software solutions that are currently available to remotely monitor and manage data center operations, with an emphasis on the power and cooling infrastructure, and discuss how artificial intelligence and machine learning are changing this landscape. This analysis will take many factors into consideration including, real-time thermal performance, airflow management, power consumption, risk mitigation, and cooling optimization.
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.
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.
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