Intelligent Storage Management - Managing Voluminous Data Using Analytics and AI
22-Mar-2019
North America
Strategic Forecasting
9B0F-00-6E-00-00
IT03827-NA-SF_22978
Data is quickly becoming one of the greatest assets businesses own. When exposed to analytics, data offers insights that enable businesses to differentiate themselves from competitors. However, this need to capture and analyze data is a double-edged sword: while it helps businesses maintain a competitive edge, it also presents challenges in how to manage data growth.
In order to strike a performance-cost balance, IT departments require new levels of visibility into and control over their storage environments. They need a firm grasp of how much storage capacity is required today, as well as to support future needs, to prevent over- or under-provisioning of storage resources. Such inefficiency can cause application performance problems in the case of too little storage, or cost overruns if the business is oversubscribed to storage infrastructure.
This report will look at the “smart” storage management platforms. We will look at why such platforms are necessary, the evolutionary path from diagnostic analytics to AI, how analytics improve storage management, and where selected providers are in the journey to adopting smart storage platforms. We will also offer predictions about the future of AI in storage management.
Introduction
Challenges in Storage Management
Mastering Data to Improve Storage Management
Convergence in Storage and Data Management
Provider Profiles
FalconStor
HPE/InfoSight
Tintri by DDN
Service Evolution and Market Convergence
Stratecast - The Last Word
About Stratecast
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