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How Automation and AI Can Benefit Your Data Center

By Greg LaBrie |   Sep 29, 2020

As has become increasingly clear over the last decade, enterprise IT must be able to quickly respond to the ever-changing needs of the business. This need for agility and responsiveness is putting pressure on IT teams, and if not properly addressed, can cause cracks to start to appear in all aspects of the IT environment. This leads to poor performance, increased security risks, and dissatisfied employees, clients, and enterprise leadership.

Modernize Your IT Infrastructure with HPE Nimble Storage

By Jay Cardin |   Sep 05, 2019

Digital transformation is reinventing the IT infrastructure. Enterprises are shifting to software-defined data centers and the new technology that comes with them. AI and machine learning (ML), cloud utilization, and software-defined storage are just a few of the many new tools that organizations now employ to help them harness the power of their data. As a result, IT infrastructure management has become increasingly complex. IT staff can no longer be expected to manage every part of the infrastructure. However, the answer to this issue is simple: let technology manage itself. AI/ML intelligent data platforms can provide comprehensive data management throughout the infrastructure.

9 Things To Know About Nimble Storage

By Greg LaBrie |   Nov 22, 2018

Flash or solid-state drive technology is seen commonly in devices such as smartphones, laptops, and servers, but it has also revolutionized the storage array landscape. Flash storage has increased in adoption due to its operational and economic benefits. Nimble Storage is a market leader in the storage space. Nimble Storage is built around reducing risk, improving reliability, and maximizing the productivity of your infrastructure and IT teams, while also giving your enterprise a competitive edge and making employees’ jobs easier. 

HPE Infosight: AI for the data center

By Greg LaBrie |   Jul 26, 2018

The truth is that data center management has never been more challenging, and it’s only getting harder. Increased data center complexity produces an alarming rate of challenging problems. Complex infrastructure issues are impossible to effectively manage with traditional analytics and support methods. Conventional tools aren’t smart enough to recognize why complex problems occur and how to resolve them. Data centers are unable to run at optimal levels with excessive manual tuning and guesswork. Fortunately, there is a new tool for the data center.

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