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

September 23, 2021

The Internet played a greater role than ever in supporting enterprise productivity over the past year-plus, as newly remote workers logged onto the job via residential links that, it turns out, left much to be desired in terms of enabling work ...

September 22, 2021

The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...

September 21, 2021

After a year of unprecedented challenges and change, tech pros responding to this year’s survey, IT Pro Day 2021 survey: Bring IT On from SolarWinds, report a positive perception of their roles and say they look forward to what lies ahead ...

September 20, 2021

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...