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AIOps: Yet Another Acronym or a Real Transformational Technology for IT Operations?

Roy Illsley
Omdia

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

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Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

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AIOps: Yet Another Acronym or a Real Transformational Technology for IT Operations?

Roy Illsley
Omdia

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

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...