Nlyte Software, the leading data center infrastructure management (DCIM) software company, today announced the availability of the industry’s first cognitive DCIM Solution. Nlyte Machine Learning leverages IBM Watson IoT’s artificial intelligence capabilities to head-off potential data center power and performance issues while also optimizing workload infrastructure operations and ultimately workload placement.

Announced on May 1, 2018, Nlyte has embedded IBM’s Watson IoT suite to create Nlyte Machine Learning, incorporating Collection, Analysis and Action, the three pillars of analytics. This first of its kind cognitive DCIM solution brings an unprecedented level of sophistication to data center management where environmental, edge computing, containerized deployment, hybrid IT and multi-cloud environmental data is captured, normalized and analyzed by Watson IoT for optimal outcomes based on key patterns. Nlyte’s core offerings, including Nlyte Energy Optimizer (NEO) and Nlyte Asset Optimizer (NAO), make Watson IoT’s analysis easy to consume by visualizing, reporting or providing rich workflows around these cognitive predictions. Data center personnel can optimize their operations and identify potential vulnerabilities, taking corrective actions before harmful issues occur.

“Data centers continue to increase in complexity as they are fragmented into many varied physical and logical infrastructure architectures,” said Enzo Greco, Chief Strategy Officer, Nlyte Software. “IBM’s Watson IoT leverages the enterprise’s valuable data collected from our core products to deliver the market’s 1^st cognitive analytics solution for data centers. This new solution further validates Nlyte’s clear product leadership in data center management and optimization. Nlyte Machine Learning delivers a true evolution in infrastructure control by providing proactive, rather than simply reactive, insight for greater resiliency and reliability of data center infrastructure, critical to enterprise workloads.”

 For more information, visit www.nlyte.com or follow @nlyte on Twitter.