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Machine-learning storage

8 factors that make AI storage more efficient

AI workloads need storage optimized for performance, capacity and availability. Discover everything you'll want to consider when planning storage for AI applications. Continue Reading
How HPE InfoSight AI proactively spots, solves infrastructure issues

Find out how the cloud service uses AI, machine learning and predictive analytics to collect and analyze data from millions of sensors to address problems before they happen. Continue Reading
Predictive analytics for storage: Benefits and product options

The advantages of using predictive analytics in storage include less downtime and better resource utilization. It's no wonder more storage vendors are making it an option. Continue Reading

McKesson Corporation's disaster recovery plan is deeply detailed and relies on Zerto's technology across its many globally ...

Regular testing of a disaster recovery plan is one of the only ways to ensure a plan is working, up to date and well-tailored to ...

After you've successfully recovered your environment, the job isn't quite over. Ensuring user connectivity following a recovery ...

You can't reliably protect your organization's valuable data without having a solid data backup plan in place. Here's what to ...

In response to customers' expanding AWS footprint, Druva added new backup features to CloudRanger, which it acquired in 2018 for ...

Providers of SaaS apps offer only basic data recovery protection. Learn which SaaS backup services and cloud-to-cloud data ...

Dell goes against the grain by increasing storage sales, but much of its gains came from hyper-converged and data protection ...

Storage Spaces Direct in Windows Server packages several different Microsoft technologies to lower TCO and simplify storage in ...

Better support remote office/branch office environments and address budgetary, efficiency, scaling and operational challenges ...