How Are ITOps Transforming with the Rise of AIOps?

Information technologies operations (ITOps) are the lifeline of any organization with the sole focus on optimizing the cost of operations. ITOps are no longer just about managing the infrastructure; they also facilitate adding the task of detecting and responding to threats, executing proactive maintenance and managing the overall IT infrastructure. The advent of cloud, mobility and the Internet of Things has completely changed how ITOps function. 

With ongoing digital transformation, enterprises are more focused on integrating new technologies that help achieve more accurate results. With rapid-fire changes and a list of challenges in the present ITOps, integration of full-stack observability is the latest need to unveil the challenges and pain points of ITOps in order to get exceptional business outcomes.  

Whether it be outdated enterprise systems, high-volume data or outages, these challenges will impact customer experience and delay various business operations. If you are the one handling the day-to-day operation of an IT company, then we are sure you have witnessed all of these challenges.  

Modernizing outdated systems is the only way to remain competitive and convert those challenges into opportunities. This is when organizations turn to artificial intelligence for IT operations (AIOps) to get enhanced visibility and better performance.  

“Predicting the future isn’t magic, it’s artificial intelligence.”  

This simple yet powerful quote, attributed to Dave Waters, perfectly defines AI. It is why organizations should focus on artificial intelligence and innovative technologies to achieve long-term and future goals.

Here are the detailed definitions of ITOps and AIOps.  

ITOps are mainly the process of managing an organization’s IT operations. The main responsibility of ITOps is to ensure that the overall IT infrastructure will run smoothly and meet the needs of internal and external users. More simply, ITOps are all about the people, process and service that help deliver quality IT.

An IT operations manager is the one who handles the IT operations and is solely responsible for ITOps activities. ITOps also help maintain a reliable and stable IT ecosystem, which helps achieve business goals.

AIOps are an application of AI that automates and enhances IT operations and tasks by using innovative technologies such as machine learning (ML) and big data analytics. By analyzing a large amount of data from various IT tools and devices, AIOps react to issues in real time. As a result, they help the overall IT operations team to work smarter and faster to efficiently achieve organizational goals.  

By integrating AIOps, the IT operations team can smoothly handle complexities and prevent outages that will ultimately help in providing a better customer experience. 

Top Challenges Encountered by Traditional IT Service Management and Solutions

Traditional ITOps do have challenges, such as improving IT operational efficiency to enhance automation. Switching to AIOps can convert organization challenges into opportunities. Here are the top four challenges of traditional ITOps.  

1. Human Intervention

Manual efforts and human interventions are the biggest challenges for traditional ITOps, impacting overall business efficiency. Managing and tracking the IT complexities through manual efforts is next to impossible in this elastic and dynamic environment. Traditional ITOps require a new approach to automate and scale the business outcomes with complete visibility.  

With the help of innovative technologies such as machine learning and deep learning framework, AIOps tools put automation to work, which reduces human intervention, resulting in better observability and complete visibility of the operational data. This automation helps identify the issues faster or before they arise and provides better insights across the life cycle of IT operations.  

2. Large Volume of Alerts

If you’re managing an ITOps team, then you should know how chaotic alerts and service tickets can be, and the number of service tickets generated from one single department can create chaos for the entire ITOps team. With the traditional IT management process, it is next to impossible for the IT team to manage a large amount of data and locate the important alerts. This might result in impacting the end-user experience.  

Integrating AI into ITOps will reduce alert noises by applying machine learning to historical and real-time data. It also isolates the incident that is causing trouble. Whether by detecting the root cause of the failure or generating actionable insights by correlating the events, AIOps tools support faster remediation of issues and errors.  

3. Data Silos

Managing large chunks of data is a complex task for many organizations, and it impacts monitoring events and systems in the ITOps environment. To overcome data silos, organizations need complete visibility across the overall IT infrastructure. AIOps can break down data silos and provide complete visibility into the IT environment with exceptional capabilities for analyzing and monitoring data.  

4. Lack of Predictive Analytics for Seamless Customer Experience

Providing a seamless customer experience is the ultimate objective of any enterprise. Without predictive analytics, enterprises have failed to provide an impactful customer experience. A massive amount of data and complex IT infrastructure in the traditional IT service management creates destruction, which results in delivering an unsatisfactory customer experience. 

AIOps analyze and manage complex data and provide automated decisions to help organizations achieve business goals. With the use of this data, AIOps can predict future events and outages before they arise. As a result, AIOps help in problem-solving and provide enhanced visibility of the overall IT infrastructure.  

One of the most notable transitions in the IT industry is the movement from reactive to proactive IT operations management. Essentially, an ITOp transforms itself from a reactive to a more predictive and proactive service. By leveraging AI, IT operations take a more predictive approach to maintaining and controlling IT services.  

Accelerating ITOps with Artificial Intelligence   

There is a massive increase in organizations shifting to AIOps for their IT operations. According to Global Market Research, the market size of AIOps exceeded 2 billion in 2020, and it is predicted to increase by 20% from 2021 to 2027. Whether by contextualizing the massive operational data or witnessing an enhanced decision-making process, organizations are driving industry growth with the help of AIOps.

Why Are AIOps the Future of ITOps? 

For the next-generation IT operations, AIOps are the necessary element, and organizations around the globe are adopting AIOps for faster digital transformation. According to an estimate by MarketsandMarkets, the global AIOps market size should increase from $2.55 billion in 2018 to $11.02 billion by 2023. How can AIOps benefit organizations around the world?  

1. Enhancing Team Collaborations

With complete visibility and customized reports and dashboards, AIOps help enhance the collaborative environment throughout organizations. AIOps encourage collaboration and workflow activities in IT groups and between IT and other business team members. From notifying appropriate teams and operators in real time to preserving data on incidents, AIOps efficiently promote team collaborations.  

2. Improved Return on Investment (ROI)

By integrating AIOps, enterprises can prevent outages, reduce mean time to repair and remove repetitive tasks, which ultimately helps organizations observe enhanced ROI. In addition, by leveraging and managing massive amounts of operational data, AIOps help the IT operations team focus on other essential tasks.  

3. Accomplishing Digital Transformation

The struggle is real for enterprises to achieve digital transformation. With end-to-end visibility into the IT infrastructure and applications, AIOps help enterprises save time and effort so that the team can focus on achieving digital transformation.  

4. Better Performance Monitoring and Service Delivery

If your business concerns are better performance monitoring and enhanced service delivery, AIOps can take care of them. Using advanced ML algorithms and innovative technology, AIOps analyze big data from various IT and business operations tools, which helps in enhanced service delivery and faster performance monitoring, thus allowing organizations to achieve exceptional IT efficiency and providing an incredible customer experience.  

How Are ITOps Transforming with the Rise of AIOps?   

ITOps departments face increased pressure to improve the performance of their IT systems while keeping costs under control. As a result, they are now looking at leveraging AI to augment existing operations and make the best possible use of available data.

According to research conducted by the Digital Enterprise Journal, there has been a roughly 83% increase in organizations deploying AIOps since 2018. This clearly shows the rise of AIOps in ITOps. 

ITOps have been transformed with the rise of AI and machine learning. Monitoring tools use AI and machine learning to improve the quality of service and reduce the time to find problems. There is a lot of buzz around AI-powered operations and how they will change almost everything. 

• Incidents and errors are detected earlier with better reliability and visibility by using AIOps.
• Integrating automation streamlines the overall IT operations with faster remediation.
• AIOps help ITOps witness digital transformation to quickly identify problems and get instant solutions.
• Automation in incident management with AIOps helps in reducing cost and enhancing ROI.
• AIOps remove noise and distractions, which helps enterprises focus on improving IT operations’ overall performance.
• With real-time visibility and efficient ITOps, AIOps help enhance the productivity and performance of employees.
• One of the most notable transitions in the IT industry is the movement from reactive to proactive IT operations management.

According the 2021 Gartner Market Guide for AIOps Platforms, “There will be no future of ITOps that does not include AIOps.”

By leveraging AI, IT operations take a more predictive approach to maintaining and controlling IT services. As a result, AIOps are interrupting IT service management. No matter how complex the IT environment is, AIOps bring innovation and automation to ITOps, ultimately leading the enterprise toward growth.