• HPE Nimble Storage
  • Storage
Artificial intelligence (AI) is making significant inroads in the data center, transforming manual tasks into automated ones that save time and optimize the overall health of the IT system. With so much to be gained from AI, it’s no wonder that IDC estimates that spending on this technology will grow to $19.1 billion in 2018.1

In fact, a recent press release issued by IDC, David Schubmehl, research director, Cognitive/Artificial Intelligence Systems describes AI interest as reaching a “fever pitch,” due in part to business process and go-to-market efficiencies.1 Adopters of AI rank enterprise digital transformation high on their list of priorities. They hope that AI will help them derive deeper, more significant insights into infrastructure performance — and storage is no exception.

It turns out AI integrated into storage volumes can be used to predict and prevent storage bottlenecks that can cause downtime and data loss. The manual provisioning and troubleshooting of storage are particularly complex, as 54 percent of storage problems are hidden deep within the infrastructure stack.2 Not only does this take time to ferret out, but also a great deal of IT expertise.

AI-powered solutions like HPE InfoSight, which is embedded in HPE Nimble Storage, powered by Intel® Xeon® Scalable processors, is making the most of predictive analytics to optimize storage. It leverages machine learning to predict and prevent as many as 86 percent of storage issues with complete automation (and without manual troubleshooting).2 Beyond the obvious time savings, the benefit to the business is the resiliency of data volumes for powering mission-critical business applications with less impact on IT.

Insight Based on Experience

As the name implies, HPE Infosight leverages the insight and information gained from millions of sensors on installations deployed globally. These sensors monitor storage performance to identify predictors of bottlenecks and downtime, along with associated causes. The system leverages machine learning to draw correlations between incidences, and that information provides the basis for HPE InfoSight to make automated adjustments to head off issues before they can impact storage performance.

A recent Enterprise Strategy Group White Paper reports the use of HPE InfoSight can reduce operating expenses because manual intervention is minimized. Here’s how the ESG analyst report breaks down the operating expense savings:3

• 79 percent lower IT operational costs
• 73 percent fewer trouble tickets 
• 85 percent less time spent resolving storage-related trouble tickets
• 69 percent faster time to resolution for events that necessitate level 3 support

With storage tasks automated, IT staff can optimize on storage investments while relying less on guesswork — and more on actionable insight. Read the solution brief to learn how HPE InfoSight accelerates and simplifies storage  volumes with flash-accelerated HPE Nimble Storage — and how ePlus, a Hewlett Packard Enterprise Platinum Partner, advances flash ROI.

1 IDC, “Worldwide Spending on Cognitive and Artificial Intelligence Systems Will Grow to $19.1 Billion in 2018, According to New IDC Spending Guide,” March 22, 2018.
2 HPE, “HPE InfoSight,” [brochure], March 2018.
3 ESG, “Machine Learning Delivers Better IT Insights,” Aug 2016.

Hewlett Packard Enterprise specializations include Platinum: Converged Infrastructure, Networking. 

The information contained herein is subject to change without notice. The only warranties for Hewlett Packard Enterprise products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Hewlett Packard Enterprise shall not be liable for technical or editorial errors or omissions contained herein. 

Intel, the Intel logo, Xeon, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

© 2018 ePlus inc. – All rights reserved. 


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