Once affordable only to massive research organizations, AI solutions are now accessible to any business. Across industries and segments, organizations are leveraging various forms of AI to streamline business operations, improve customer experience, and identify new revenue streams. As a result, businesses are scrambling to amass data of every kind, from any source: operational metrics, customer behavioral information, financial data, market trends, climate and environmental information, and more.
But where will they put it all? Exponential data growth—estimated to grow at a 61% compound annual growth rate, exceeding 175ZB worldwide by 2025—cannot simply be handled by adding clusters to traditional storage.
In this report, Stratecast looks at why the demands of the digital era require enterprises to rethink their approach to storage. We consider the requirements to support AI workloads, and why traditional storage is inadequate. Finally, we take a look at storage technologies and solutions available in the market for addressing the AI storage challenge.
Introduction
The New Data Environment
Why Yesterday’s Storage Technologies May Not Support AI Workloads
Cloud versus On-Premises Storage
Storage Requirements for AI Workloads
Storage Solutions for AI
Scalable and Searchable Object Storage
Object Storage in the Cloud
Object Storage in the Enterprise Data Center
AI-Optimized Storage Appliances
Stratecast - The Last Word
About Stratecast
About Frost & Sullivan
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| Deliverable Type | Strategic Forecasting |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Lynda Stadtmueller |
| Industries | Information Technology |
| WIP Number | 9B0F-00-6D-00-00 |
| Is Prebook | No |
| GPS Codes | 99E4-C1,9455,9B07-C1,D562 |
Data, Data Everywhere - Why Your AI Strategy Requires a New Approach to Storage
15-Mar-2019
North America
Strategic Forecasting
