How IT Teams Can Unleash the True Potential of AIOps Through 5 Levels of Maturity
June 25, 2020

Sean McDermott
Windward Consulting Group

Share this

Over the last few years, the need and market for artificial intelligence for IT operations (AIOps) has grown significantly as enterprises look for solutions to scale operations while improving customer experience and overall satisfaction. As the need grows, it's predicted that 40% of organizations will implement an AIOps solution by 2022, and 55% of organizations leverage modern IT operations tools like AIOps to improve overall customer satisfaction.

While many of today's enterprises view AIOps as just another tool in the stack hoping to solve age-old problems, AIOps should be viewed as a holistic, long-term strategy. But before IT teams can envision long-term success, they must develop a foundation that both deploys modern machine learning and automation and allows them to track progress. In turn, this creates transparency throughout the organization and gives IT teams an opportunity to show their value.

I've had the opportunity to work with a number of organizations embarking on their AIOps journey. I always advise them to start by evaluating their needs and the possibilities AIOps can bring to them through five different levels of AIOps maturity. This is a strategic approach that allows enterprises to achieve complete automation for long-term success.

Here's what enterprises should know about the five levels of AIOps maturity:

Level 1: Reactive

When teams are in the first stage of AIOps maturity, siloed operations hinder communication with the rest of the business, leaving IT teams in constant reactive mode as they collect events and logs. IT teams become firefighters attempting to balance putting out internal fires while ensuring customers are satisfied. Additionally, because their time is spent solving major issues in reactive mode, they miss the opportunity to showcase their value to the rest of the business and help produce proactive strategies.

Level 2: Integrated

In the second level of AIOps maturity, operational silos become less of a barrier, and communication between IT teams and other departments becomes easier and more frequent. Additionally, data sources start to weave into a unified architecture and IT service management (ITSM) processes are improved significantly. Teams also begin to layer artificial intelligence and machine learning into the process.

Level 3: Analytical

Teams begin to reap the benefits of artificial intelligence and machine learning in the analytical level of AIOps maturity. They can define more baseline metrics to share with the rest of the organization. In turn, this gives them the opportunity to leverage data to show the overall value of IT and AIOps as it relates to overarching business goals and objectives.

Level 4: Prescriptive

By the fourth level, IT teams have nearly mastered the use of ML and automation to continue improving processes and showing value to stakeholders. In addition, the prescriptive stage optimizes the approach to ITSM processes.

Level 5: Automated

In the fifth level of AIOps maturity, full automation is implemented with little to no human interaction. Teams see complete transparency throughout the organization as they leverage ML through prescriptive models. Finally, teams are able to sit at the executive table and play a more strategic role in improving the business operations, while automation works in the background to keep the lights on.

As teams look to implement AIOps and navigate through each level of maturity, they achieve the true potential AIOps provides them, ultimately preparing them for long-term success.

Sean McDermott is the Founder of Windward Consulting Group and RedMonocle
Share this

The Latest

January 25, 2022

Most enterprise IT organizations struggle with network and cloud infrastructure configuration management and worry that their networks will fail configuration compliance audits. This issue is amplified as enterprise network engineers continue to take the "if it's not broke, don't fix it" approach to network infrastructure management ...

January 24, 2022

The shift to containers and microservices is a key component of the digital transformation and shift to an all encompassing digital experience that modern customers have grown to expect. But these seismic shifts have also presented a nearly impossible task for IT teams: achieve ceaseless innovation whilst maintaining an ever more complex infrastructure environment, one that tends to produce vast volumes of data. Oh and can you also ensure that these systems are continuously available? ...

January 20, 2022

As part of 2022 APM Predictions list, APMdigest asked industry experts to predict how Digital Transformation will evolve and impact business in 2022 ...

January 19, 2022

As part of APMdigest's list of 2022 predictions, industry experts offer thoughtful and insightful predictions on how Cloud will evolve and impact business in 2022 ...

January 18, 2022

As part of APMdigest's list of 2022 predictions, industry experts offer thoughtful and insightful predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2022 ...

January 13, 2022

Gartner highlighted 6 trends that infrastructure and operations (I&O) leaders must start preparing for in the next 12-18 months ...

January 11, 2022

Technology is now foundational to financial companies' operations with many institutions relying on tech to deliver critical services. As a result, uptime is essential to customer satisfaction and company success, and systems must be subject to continuous monitoring. But modern IT architectures are disparate, complex and interconnected, and the data is too voluminous for the human mind to handle. Enter AIOps ...

January 11, 2022

Having a variety of tools to choose from creates challenges in telemetry data collection. Organizations find themselves managing multiple libraries for logging, metrics, and traces, with each vendor having its own APIs, SDKs, agents, and collectors. An open source, community-driven approach to observability will gain steam in 2022 to remove unnecessary complications by tapping into the latest advancements in observability practice ...

January 10, 2022

These are the trends that will set up your engineers and developers to deliver amazing software that powers amazing digital experiences that fuel your organization's growth in 2022 — and beyond ...

January 06, 2022

In a world where digital services have become a critical part of how we go about our daily lives, the risk of undergoing an outage has become even more significant. Outages can range in severity and impact companies of every size — while outages from larger companies in the social media space or a cloud provider tend to receive a lot of coverage, application downtime from even the most targeted companies can disrupt users' personal and business operations ...