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Gartner estimates that by 2020, approximately 50% of enterprises will actively use AIOps technologies together with APM to provide insight into both business execution and IT ops, up from fewer than 10% today.

 

How can you apply AI to your APM and transactional data for business insights?

 

Download the report to read more about:

  • How to map application performance metrics to business objectives
  • The role of AI algorithms in determining cause and effect and making predictions
  • How to leverage anomaly detection, classification, clustering and extrapolation to meet business objectives

Are you ready to use AIOps to support business outcomes?

 

Most current APM tools deliver advice with limited business context, leaving I&O leaders without a way to connect APM output to the business outcomes such as improved revenue, cost and risk.
Charley Rich, Research Director
Gartner

 

Artificial Intelligence for IT Operations Delivers Improved Business Outcomes, Charley Rich, 12 June 2018.

 

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

 

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Trusted by 30,000 of the World's Best Brands

Trusted by 30,000 of the World's Best Brands
Trusted by 30,000 of the World's Best Brands
Trusted by 30,000 of the World's Best Brands
Trusted by 30,000 of the World's Best Brands
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