AIOps - Artificial Intelligence in IT Operations - Part 1

 

What's AI Ops?


  • AIOps means Artificial Intelligence in IT Operations. The term was coined by Gartner.

  • AIOps is the application of machine learning (ML) and data science to IT operations problems. 

  • AIOps platforms combine big data and ML functionality to enhance and partially replace all primary IT operations functions, including availability and performance monitoring, event correlation and analysis, and IT service management and automation.

  • AIOps platforms consume and analyze the ever-increasing volume, variety and velocity of data generated by IT and present it in a useful way.



How AI Ops work


AIOps performs IT operations through self learning and self correcting systems.


AIOps deploys:

  • Machine Learning techniques to understand the ever changing IT environment

  • Artificial Intelligence to detect abnormalities

  • Intelligent automation to remediate abnormalities before it impacts

  • It learns from the kind of events and way those events are happening rather than a knowledge base or SOP

  • AIOps based platform enables proactive detection and remediation of incidents helping organizations drive towards a Zero Incident Enterprise



AI Ops Benefits


  • Drive intelligent, secure, and cost-effective operations - Boost visibility across operations and improve risk management while reducing cost and vulnerabilities.

  • Deliver AIOps-driven business service health - Reduce incidents and MTTR (Mean Time to Repair) with AIOps to eliminate noise, prioritize, identify root cause, and remediate. 

  • Unify workflows to prioritize and remediate efficiently - Replace error‑prone, ad hoc processes across security, risk, and IT teams. 

  • Automation and service improvements - Automate vulnerability, security incident, and risk management.

  • Go beyond legacy tools with AIOps - Use advanced technology across IT operations to deliver high‑performance services that create amazing experiences throughout the enterprise.


In the next part of the article, we will review the strategies that we should adopt for implementing AIOps as well as some popular tools available in the market. Talk to you soon...









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