Data, Data Everywhere - Why Your AI Strategy Requires a New Approach to Storage

Data, Data Everywhere - Why Your AI Strategy Requires a New Approach to Storage

RELEASE DATE
15-Mar-2019
REGION
North America
Research Code: 9B0F-00-6D-00-00
SKU: IT03826-NA-SF_22977

$3,000.00

Special Price $2,250.00 save 25 %

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SKU
IT03826-NA-SF_22977

$3,000.00

$2,250.00 save 25 %

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Description

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.

Table of Contents

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

Related Research
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.
More Information
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