3 years ago

Category: Business, Data, Infrastructure, automation, artificial-intelligence

How can IT organizations make sure they’re equipped to resolve operational issues quickly and drive better business outcomes? That’s where artificial intelligence for IT operations, or AIOps, comes in. With the increasingly vast amounts of data generated by infrastructure and business applications, and teams often working in disconnected silos, managing and improving operations through automation — including monitoring and service desk processes — is essential. AIOps, a term coined by Gartner Research in 2016, refers to the use of analytics and machine learning to aggregate and leverage historical data from a variety of IT operations tools.

Most IT operations, particularly since the coronavirus pandemic, have migrated to online processes (for example, performance monitoring) that gather ever-increasing amounts of data.

Gartner predicts that large enterprises’ use of AIOps, and other digital experience monitoring tools, to monitor applications and infrastructure will rise from 5% in 2018 to 30% in 2023.