Traditional IT management approaches are getting outdated as they cannot sustain the scope and volume of innovation. Hence, many industries began realizing the enormous potential of artificial intelligence (AI) and started investing heavily in it to accelerate their digital transformation journey. This evolution saw the emergence of AIOps that unifies AI, DevOps, machine learning, and data analytics to transform raw data into actionable insights, thereby improving decision-making and enhancing IT operations.
Gartner predicts that the global AIOps market could touch $2756.44 million by 2025 at a CAGR of 45.7% from 2021 to 2025. As per a survey, 72% of CIOs reportedly used cloud-native technologies, including microservices, containers, and Kubernetes, and 58% said these environments changed every minute or less.?
- Greater Visibility: Before AIOps, organizations faced several challenges due to siloed systems that made it difficult to access the data. AIOps solves this challenge by making data readily available across the entire organization. It unifies the application/business data and brings it under one umbrella, making the data more visible. Additionally, the use of automation also adds to the efficiency and enhances the performance of IT operations.
- Automation: Apart from bringing down the data silos, organizations seek to leverage automation through digital transformation. AIOps, powered by typical AI and machine learning tools, enrich and correlate data from various sources. It cleans data and eliminates false positives, thus helping teams gain meaningful insights and focus on relevant issues.
- Unified Platform:? AiOps brings all application and infrastructure operations under a single dashboard. This makes it easy to view and manage all the information. Additionally, the AIOps platform suggests which applications should be modernized first and what else could be done to accelerate the transformation.
- Zero downtime: Downtime is a major issue that leads to low productivity and high losses, and also impacts an organization’s reputation. With the implementation of AIOps, SRE (Site Reliability Engineering) and DevOps can come together and respond to the problem.
- Enhanced Collaboration: AIOps solutions help organizations expand their collaboration efforts by bringing everyone on the same data page and speaking the same language. It can empower virtual workspaces as well as improve remote workflows, so everyone involved in solving an incident assembles and shares a ‘single pane’ UI with all necessary data and context.
- Increased business Innovation: The faster organizations respond to changing market conditions, the better they drive business value. AIOps reduces time and effort by automating key processes, allowing IT teams to focus on implementing strategic initiatives that drive business success.
- Reduced IT Costs: AIOps tools can alert analysts on potential issues before they lead to a costly outage. A modern AIOps solution can also save teams considerable time and effort by eliminating false positives. According to the Forrester report, implementing an AIOps approach helped companies improve operational efficiency and reduce false-positive alerts by 95%.?
AIOps has already started powering digital transformation by optimizing the way IT operations teams work. It can contribute to digital transformation objectives such as improving customer experience, growing digital revenues, reducing operational costs, and launching new products and services faster while maintaining quality. While AIOps is picking up pace, it is not yet fully self-running, which means human expertise continues to play a significant role in maximizing the ROI of AIOps.
