Applying AI to IT Complexity: Top 5 AIOps Trends

Interest in AIOps continues to grow across the board, as organizations grapple with the IT complexity created by digital transformation. In fact, a recent survey by the AIOps Exchange revealed that 91% of enterprises are turning to AIOpsOpens a new window to solve major pain points. What’s fueling this interest? IT environments have become hypermodular, ephemeral and dynamic, and, by extension, more difficult to monitor, so more and more DevOps and IT Ops teams are using AIOps to regain visibility and control. The same AIOps Exchange survey indicated 28% of respondents had DevOps drive the decision to deploy AIOps within their businesses.

As you cement and refine your AIOps plans, here are five key trends you need to be aware of to make the right decisions about toolsets and strategies.

1. An uptick in AI trust

Until now, humans have largely relied on AI, and specifically AIOps, as a mechanism to enhance human work — delivering expanded cognitive ability, but addressing only the demands of a human operator. This year, our reliance on AI will transition from the augmentation of human cognition to true delegation. We’ll begin to trust AIOps systems to function independently from human operators in order to meet shortening timelines for which IT departments are expected to resolve issues that could impact end-users. Human latency is bottlenecking the resolution process, and we have no choice but to turn to a rapid response model that only AI can deliver.

2. DevOps will warm up to AIOps

The ITOps and DevOps worlds have experienced polarized reactions to the emergence of AI in their respective practice areas — with DevOps teams often expressing skepticism around the ability for AI to deliver value within the development process. In 2020, we’ll start to see the DevOps world warm up to the idea of observability within IT management as they seek to monitor and analyze data in real-time. This approach will require AIOps that can make sense of the noisy, volatile data.

Learn More: Caveat Emptor: Not all AIOps is created equal

3. The rise of AIOps in system integrators and accountancy firms

While AIOps has played a tangential role in existing monitoring practices within system integrators and accountancy firms to date, 2020 will see a new push toward definitive AIOps practices within these organizations. As they develop their own AIOps technology and affiliate with major AIOps vendors, their direction will have a substantial impact on the evolution of the AIOps field as a whole.

4. A boost for AIOps from ITIL V4

It’s inevitable — whenever a new ITIL version comes out, enterprises resist adopting it and pledge to remain on the previous one. However, they eventually fall in line and embrace the new version because their goal is standardization. Such will be the case with Version 4 of ITIL. This version was released in 2019 and is far more radical than its predecessor.

Findings from the AIOps Exchange show that 91% of IT executivesOpens a new window surveyed have turned to AIOps to solve major pain points. As more teams look to AIOps as a solution to prevent outages, ITIL 4 will become necessary for IT teams, as it is especially congruent with the types of practices needed to implement AIOps. No, ITIL 4 makes no direct mention of AIOps; however, the organizational structures it advocates and its insistence that the IT estate be looked at holistically are in line with AIOps. Consequently, it will boost the acceptance of AIOps.

5. IT Ops management consolidation

This will be the year of consolidation across IT Operations management. Currently, vendors have found themselves stuck within one or two adjacent subsets of the eight or more ITOps management submarkets. Yet, 2020 will see vendors take a leap of faith into more submarkets, vying to own a larger share of the ITOps management market. AI will be the defining factor in the success of this attempt, delivering the ability to integrate a diverse set of technologies. Those who fail to integrate true AI into their ITOps management solutions will quickly fall behind those who do.

As IT leaders look to shape their strategy in 2020, these are just a few ways they can expect to see the industry change. The IT space is continuing to evolve before our eyes. If we fail to evolve with it, we’ll be left behind in this exponential rate of growth.

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