How Can AIOps Support the Digital Transformation of My Business?

When the term AIOps first came into vogue, it stood for Algorithmic IT Operations. In just a couple of short years, the market has moved on considerably, and it’s now widely accepted to stand for Artificial Intelligence for IT Operations. The underlying core idea is similar; using big data and machine learning to enhance and even replace IT operation processes such as performance monitoring and analytics.

This change is being watched closely by industry experts Gartner, who recently published their Market Guide for AIOps Platforms, which features Correlsense amongst their representative vendors in the field, providing eight out of the 11 capabilities that were listed. In their report, Gartner estimate that “by 2022, 40% of all large enterprises will combine big data and machine learning functionalities” in areas such as monitoring, service desk, and automation. This is a dramatic rise from only 5% today.

So how can you get in on the ground floor? And what benefits are there for you in making AIOps part of your digital transformation strategy?

The Gartner report has looked at how AIOps can take data analysis to the next level. The right tools can help you capture, ingest, and access real-time information with streaming data, wherever it is coming from. As the leading Application Performance Management (APM) system, Correlsense was included in the report as one of only a handful of companies who can automatically provide not just pattern discovery but also anomaly detection and causal analysis of this data as it is coming in.

This is a new era of data analytics, more powerful and seamless than anything which has come previously. With one glance at your dashboard, you can identify bottlenecks and solve performance issues, as well as find real-time problems and isolate any potential problems, even before they affect the end user. You can look at application or transaction behavioral changes and understand how usage is split between infrastructure and shared services.

These analytics tools are becoming more than just helpful, they are moving towards being essential to keep your head above water. SDTimes reports that:

In their market guide, Gartner stress that the more data types are being analyzed, the stronger the analytics provided will be. Modern IT systems are complex and require a multiperspective approach. But this sounds overwhelming for enterprises that are trying to hear the messages beneath the noise.