AIOps has seen critical gains in the past two years, as more organizations have adopted it and some are starting to mature in their use of the technology.
Artificial intelligence for IT operations has seen a growing amount of interest in the past few years. In one survey of IT leaders, 94 percent said AIops adoption was “very important” for managing networks and cloud services.
Market research firm Gartner estimated AIOps market size will increase by 15 percent annually through to 2025, rising to $3.4 billion market value in 2025.
See Also: Increased IT Complexity Drives the Need for AIOps
Even though some modern digital businesses are embracing the technology, there is still room for lots of growth in the industry from businesses unaware of the technology and those that have yet to implement a cohesive AI deployment strategy.
“Enterprises have started adopting AIOps platforms to compete with and replace some traditional monitoring tool categories,” said lead Gartner analyst Pankaj Prasad. “For example, monitoring IaaS and observability is being done entirely within AIOps platforms, especially if the enterprise has its entire IT footprint in the cloud.”
AIOps can be split into three key IT operations:
- Observe (Monitoring) – AIOps combines historic and real-time data, previously siloed in separate applications which wouldn’t speak to each other, to provide event metrics, traces and topology. Through this, organizations are able to better contextualize events, detect anomalies and receive data and performance analysis.
- Engage (IT Service Management) – Through the implementation, organizations are able to engage with incidents and changes, through the use of task automation, risk analysis and knowledge management.
- Act (Automation) – AIOps supports a wealth of automation tools, such as scripts, runbooks and application release automations (ARAs), to help organizations automate more business processes.
The combined service enables organizations to know more about IT operations through the use of real-time data streams, while also providing management and automation tools to speed up processes inside the organization.
Even some of the top-end tech organizations are still coming to terms with AIOps, and Prasad sees a point in the near future where “end-users [mature] to a point where they are ready to ask questions about what’s happening in the analytics layer, how the process is working and how the outcomes can be better.”
A broader push by the industry to standardize AIOps as the sole monitoring tool, instead of having several monitoring tools overlapping, is expected by Moogsoft CTO Richard Whitehead.
This could be led by organizations adding a senior vice president of AIOps, which some mature businesses have already done. Adding this layer of executive branch may push the industry category ahead of other monitoring and automation tools in the tech stack.
