Intelligent Cloud Management - Improving the Business Experience Using Analytics and AI

Information Technology Intelligent Cloud Management - Improving the Business Experience Using Analytics and AI


RELEASE DATE
07-Mar-2019
REGION
North America
DELIVERABLE TYPE
Strategic Forecasting

RESEARCH CODE
99E4-00-30-00-00
SKU
IT03824-NA-SF_22975
Yes
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SKU
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Intelligent Cloud Management - Improving the Business Experience Using Analytics and AI
Published on: 07-Mar-2019 | SKU: IT03824-NA-SF_22975

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Most enterprises don’t have the time, interest or skill to continually monitor their cloud environments for efficiency—for example, to ensure that their instance sizes are adequate as application usage fluctuates; that they aren’t running idle virtual machines (VMs); or that they aren’t paying more than they need to. To help customers optimize their environments, some providers are incorporating user-facing analytics and artificial intelligence (AI) into their cloud management platforms, providing visibility and recommendations for optimizing the environment. And it’s not only IaaS providers that are utilizing intelligence. Third-party providers of hybrid or multi-cloud management or service broker platforms are also incorporating AI as a way to help enterprises manage their multi-cloud environments.

In this report, we will look at the introduction of intelligence into cloud management platforms. We will look at why it’s necessary; the evolution path of cloud management platforms: from using diagnostic analytics to artificial intelligence; how using analytics improves cloud management; and where providers are in the journey. We will also make some predictions about the future of AI in cloud management.

Introduction

The Cloud Management Evolution

Real-Time, Data Driven Cloud Management

Provider Profiles

CenturyLink

Navisite

Tata Communications

HPE

Where is Intelligent Cloud Headed?

Frost & Sullivan - The Last Word

About Frost & Sullivan


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Most enterprises don’t have the time, interest or skill to continually monitor their cloud environments for efficiency—for example, to ensure that their instance sizes are adequate as application usage fluctuates; that they aren’t running idle virtual machines (VMs); or that they aren’t paying more than they need to. To help customers optimize their environments, some providers are incorporating user-facing analytics and artificial intelligence (AI) into their cloud management platforms, providing visibility and recommendations for optimizing the environment. And it’s not only IaaS providers that are utilizing intelligence. Third-party providers of hybrid or multi-cloud management or service broker platforms are also incorporating AI as a way to help enterprises manage their multi-cloud environments. In this report, we will look at the introduction of intelligence into cloud management platforms. We will look at why it’s necessary; the evolution path of cloud management platforms: from using diagnostic analytics to artificial intelligence; how using analytics improves cloud management; and where providers are in the journey. We will also make some predictions about the future of AI in cloud management.
More Information
Deliverable Type Strategic Forecasting
No Index No
Podcast No
Author Karyn Price
Industries Information Technology
WIP Number 99E4-00-30-00-00
Is Prebook No
GPS Codes 99E4-C1,9455,9B07-C1