12 Steps to Excellence in Artificial Intelligence for IT Operations

This article has been updated from the original, published on November 27, 2017 to reflect new events, conditions or research.

While only a small fraction of organizations have deployed and used artificial intelligence (AI) at scale, IT infrastructure and operations (I&O) leaders are already being challenged to create an agile infrastructure to support their organization’s AI strategy.

In addition, I&O teams are exploring the use of AI technologies to improve their own operations. This will require radical modifications to tasks and processes, says Pankaj Prasad principal research analyst at Gartner.

“Start using AI-enabled I&O management tools and continuously reskill your teams with new AI and data analytics skills,” says Prasad. “We advise clients to start small, build fast and validate frequently.” Gartner helps I&O leaders tackle the challenge of using AI in IT operations by breaking it down into 12 steps (see graphic). They are grouped into four major stages of progress, creating a solid platform that truly transforms IT operations.