AIOps: Yet Another Acronym or a Real Transformational Technology for IT Operations?
July 15, 2021

Roy Illsley
Omdia

Share this

The introduction of the latest technology — such as AI and machine learning — can be seen as a way for organizations to accelerate growth, increase efficiency, and improve customer service. However, the truth is that the technology alone will do little to deliver on these business outcomes. AI for IT operations (AIOps) is one area where the application of technology, if not matched with organizational maturity readiness, will fail to deliver all the promised benefits.

Market Definition

The AIOps market has evolved from many different domain expert systems being developed to provide more holistic capabilities. The new report, Omdia Universe: Selecting an AIOps Solution, 2021–22, brings Omdia's vision of what an AIOps solution should currently deliver as well as areas we expect AIOps to evolve into.

AIOps is a term that has been adopted by the market to define the way IT operations needs to perform in digital enterprises. Omdia defines AIOps as the overarching technology that can bring all the management practices (observability, rapid mitigation, augmented decision making, self-healing, auto-scaling, etc.) in IT together. This concept does not translate to a single person or team that can now perform all these activities; rather, a single view can be obtained, and a single control point established. Omdia clarifies the sector by identifying the key characteristics of an AIOps solution.

The current reality of the market is that many different AIOps solutions exist, but they do not all deliver on Omdia's ten key characteristics. 

Omdia View

The IT department is going through a significant, and many would argue long overdue, transformation. At the heart of this transformation are the new emerging technologies such as AI, quantum computing, blockchain, etc.

The degree to which these technologies when deployed will deliver the desired business outcomes is less clear, and Omdia argues the outcomes are more closely linked to the maturity and culture of the organization, and matching that to the use of technology, than to the technology itself. IT operational activities (defined as those activities IT undertakes to ensure business users can perform their activities) span multiple different disciplines, yet most organizations still have a very team-centric, or domain-centric, approach to managing and orchestrating these disciplines.

The rise of DevOps was seen as the vehicle to bring two of these different disciplines together for the greater good in order to improve business outcomes faster. While it is true DevOps has gone some way toward changing the culture and mind-set of IT operational activities, it remains focused on a too-narrow definition of the role IT has to play in the digital enterprise.

Omdia considers that AIOps represents a natural evolution of DevOps and can become more inclusive of all the activities that impact the customer/employee experience, or business outcome. It is only when IT can ensure its focus is customer outcome-centric that its activities will be aligned to the business's objectives and the tools used will be used in a way designed to ensure it meets those objectives.

AIOps adds the missing link that can bring the disparate processes and tools together for the single purpose of delivering improved business outcomes, not just improving IT efficiency.

Recommendations for Enterprises

The adoption of new concepts that claim to be a silver bullet has traditionally failed to deliver fully on its promises. AIOps is no exception; it is not a shrink-wrapped solution that can simply be deployed in order to automatically generate an improvement in the performance of IT operations. Instead, it is the application of AI to the different activities IT performs.

By linking all these activities, sharing knowledge, and automating actions, AIOps can deliver. But this requires the IT department to be honest in terms of the current level of organizational maturity and what it can realistically expect to reach in the next 12 months by using AIOps. 

Omdia's AIOps Universe

Omdia is a proud advocate of the business benefits derived through technology, and AIOps is at the forefront of realizing benefits for IT operational teams. The Omdia Universe report is not intended to advocate an individual vendor, but rather to guide and inform the selection process to ensure all relevant options are considered and evaluated in an efficient manner. The report findings gravitate toward the customer's perspective and likely requirements, characteristically those of a medium-large multi-national enterprise (5,000+ employees).

Download the Omdia Universe Report

Roy Illsley is a Chief Analyst at Omdia
Share this

The Latest

March 27, 2024

Nearly all (99%) globa IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report ...

March 27, 2024

Agent-based approaches to real user monitoring (RUM) simply do not work. If you are pitched to install an "agent" in your mobile or web environments, you should run for the hills ...

March 26, 2024

The world is now all about end-users. This paradigm of focusing on the end-user was simply not true a few years ago, as backend metrics generally revolved around uptime, SLAs, latency, and the like. DevOps teams always pitched and presented the metrics they thought were the most correlated to the end-user experience. But let's be blunt: Unless there was an egregious fire, the correlated metrics were super loose or entirely false ...

March 25, 2024

This year, New Relic published the State of Observability for Financial Services and Insurance Report to share insights derived from the 2023 Observability Forecast on the adoption and business value of observability across the financial services industry (FSI) and insurance sectors. Here are seven key takeaways from the report ...

March 22, 2024

In MEAN TIME TO INSIGHT Episode 4 - Part 2, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses artificial intelligence and AIOps ...

March 21, 2024

In the course of EMA research over the last twelve years, the message for IT organizations looking to pursue a forward path in AIOps adoption is overall a strongly positive one. The benefits achieved are growing in diversity and value ...

March 20, 2024

Today, as enterprises transcend into a new era of work, surpassing the revolution, they must shift their focus and strategies to thrive in this environment. Here are five key areas that organizations should prioritize to strengthen their foundation and steer themselves through the ever-changing digital world ...

March 19, 2024

If there's one thing we should tame in today's data-driven marketing landscape, this would be data debt, a silent menace threatening to undermine all the trust you've put in the data-driven decisions that guide your strategies. This blog aims to explore the true costs of data debt in marketing operations, offering four actionable strategies to mitigate them through enhanced marketing observability ...

March 18, 2024

Gartner has highlighted the top trends that will impact technology providers in 2024: Generative AI (GenAI) is dominating the technical and product agenda of nearly every tech provider ...

March 15, 2024

In MEAN TIME TO INSIGHT Episode 4 - Part 1, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses artificial intelligence and network management ...