Nlyte Machine Learning earns certification from FedRAMP; boosts federal data center optimization initiative

Nlyte Software announced this week that Nlyte Machine Learning has achieved Federal Risk and Authorization Management Program (FedRAMP) certification. This achievement represents the first cognitive DCIM solution—leveraging IBM Watson IoT’s artificial intelligence capabilities—to meet the federal government’s mandate for security standards.

Nlyte’s federal solutions continue to be a foundational tool for federal agencies to optimize and streamline their data center operations. Currently, over thirty-five (35) federal agencies across civilian, intelligence and defense organizations use, or are currently deploying, the Nlyte platform.

The announcement extends the company’s machine learning federal capabilities to operate in a FedRAMP compliant environment, thus enabling agencies to leverage machine learning in a secure cloud environment, as part of their DCOI initiatives.

Nlyte Machine Learning incorporates a process of collection, analysis and action—the three pillars of data analytics. Leveraging this solution, the federal government gains an unprecedented level of sophistication for DCOI initiatives, that yield optimization and consolidation for metering, managing, and reporting on required metrics including PUE, virtualization, server and facility utilization; security for managing and strengthening the chain-of-custody of all data center assets from procurement through decommissioning, and cost savings by optimizing energy efficiency at the facility level — tracking and managing IT and facility assets as well as providing operational-cost transparency features for chargeback.

“With this FedRAMP certification, US Federal Agencies can now take advantage of Nlyte Machine Learning in a secure cloud environment,” said Enzo Greco, Chief Strategy Officer of Nlyte. “This will allow these organizations to quickly benefit from advanced analytics specifically designed to reduce costs and increase uptime within their data centers.”

 


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