AIOps can be leveraged to streamline IT operations in a business organization

The definition by Gartner states that "AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination."

So, what exactly is AIOps? Artificial Intelligence for IT Operations or AIOps in short, leverages AI and its subsets to monitor and resolve issues related to the IT operations of a business.

According to a recent report, the Global AIOps Market is projected to reach 6.88 billion by 2025, at a CAGR of 29.89% from 2020 to 2027.

The Need for AIOps

Digital transformation has redefined business operations, especially the ITOps. Large companies with multi-layered operation systems can leverage AIOps to speed up critical services and improve customer experience. These days startups are also utilizing AI to automate IT infrastructure.

• The conventional IT operation systems go through difficulties in streamlining operations due to siloed processes, monitoring issues, humongous data volumes, etc. AIOps will combine the data from all IT operation siloes in a single place and thus give better visibility of endpoints. These datasets are automatically analyzed to get business insights. Thus, with AIOps it is possible to perform real-time data processing that will help boost the business strategies and improve them.
• Digital transformation has increased the significance of user experience across industries. To understand consumer needs it is necessary to analyze large datasets and predict insights. It is humanly impossible to perform this function with maximum accuracy and at a faster pace. AIOps leverages predictive analytics to track customer behaviour and trends to arrive at conclusions with accuracy. AIOps can make automated decisions to increase business value and performance and also remediate anomalies.
• Organizations dealing with IT monitoring issues take a lot of time to repair issues and improve performance. AIOps can resolve these issues with faster deployment of automation and also reduces alert noises across your IT operation processes by filtering out unwanted notifications.

With AI and ML-based applications, it is easier to find the root causes of issues without employing costly IT war rooms.

• AIOps take the overload off the shoulders of development and IT engineers by automating repetitive tasks and providing faster solutions. The IT operation department often faces pressure to deliver better services in a limited time while there are a lot of issues popping up every second that usually needs increased Mean Time To Repair (MTTR). By leveraging AIOps, engineers can reduce the time for resolving issues and predict threats, and it also takes away the pressure from their brains.

Preparing for AIOps

The rapid digital transformation introduced automation but, the coming years will witness the boom of AI in business operations. While adopting AIOps for your business, there needs to be a clear understanding of the technology and its capabilities. Companies should make their employees aware of what AIOps will do to their IT infrastructure and how it will contribute to business growth. AI is often looked upon with the suspicion of wiping out jobs and taking over the human race, which is not true. Implementing AI to your operations will demand better skill sets and organizations can use this opportunity to upskill and train their employees.

IT leaders should set success criteria while adopting AIOps which will provide visibility of ROI, productivity, and prospective business goals that can be measured. Organizations should divide data sets and pick necessary data that can be leveraged to identify business outcomes. Since AIOps depend on datasets from various business segments, it is imperative to identify, prioritize, and segregate data.

If employed correctly and with the right goals,  AIOps can provide greater benefits to the business organizations and streamline IT operations with minimum human intervention.