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ANALYST REPORT
Market Guide for AIOps Platform

AIOps platforms enhance I&O leaders’ decision making by contextualizing large volumes of varied and volatile data. I&O leaders should use AIOps platforms for refining performance analysis across the application life cycle, as well as for augmenting IT service management and automation.

Overview

Key Findings
  • Use of AIOps platforms to augment IT functions such as event correlation and analysis, anomaly detection, root cause analysis and natural language processing is growing rapidly. However, application of AIOps to functions such as ITSM and DevOps is progressing at a slower place.
  • AIOps platform offerings have split into two approaches: domain-agnostic and domain-centric solutions.
  • Enterprises that adopt AIOps platforms use them as a force multiplier for monitoring tools correlating across application performance monitoring (APM), IT infrastructure monitoring (ITIM), network performance monitoring and diagnostic tools, and digital experience monitoring.
  • AIOps platform maturity, IT skills and operations maturity are the chief inhibitors to rapid time to value. Other emerging challenges for advanced deployments include data quality and lack of data science skills with I&O.
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Gartner Market Guide for AIOps Platforms, Charley Rich, Pankaj Prasad, Sanjit Ganguli 7 November 2019.

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According to Gartner, "By 2023, 40% of DevOps teams will augment application and infrastructure monitoring tools with artificial intelligence for IT Operations (AIOps) platform capabilities.