Have you ever wondered why Artificial Intelligence, fondly known as AI, is the most popular choice among businesses aiming for a digital transformation? Allow me to tell you about how the term AIOps came into existence. Simply put, cutting-edge AI technology has the potential to disrupt modern IT systems with its ability to determine the challenges in business environments by replicating human intelligence and leveraging it to take over complex decision-making.
With ever-evolving business scenarios, the integration of AI into IT operations has led to the emergence of AIOps which uses big data analytics, machine learning, and cognitive engineering to accelerate the process of complex decision-making in the realm of IT. I will now explain what exactly AIOps is and how it is beneficial for different IT industries.
In 2016, Gartner, coined the term Artificial Intelligence for IT operations (AIOps) to simplify and enhance IT operation analytics. Gartner defined AIOps as “A combination of big data and machine learning to automate IT operation processes, including event correlation, anomaly detection, and causality determination.”
With IT at the heart of digital transformation, AIOps is the best platform for present and future business operations. With its ability to automate as well as provide a real-time understanding of any issues to IT teams, AIOps must be at the top of your list of potential investments for your business.
You should know that not all AIOps platforms are created equal. Every organization should employ it as an independent platform so that it admits data from all IT sources and acts as a central system of engagement, customized AIOps that is just right for you!
The five key steps to fully automate and streamline IT operations include-
An AIOps platform merges with the existing tools and brings together information and insights that were earlier disconnected. The IT team uses multiple tools to monitor the data but getting access to each tool and its insights is nearly impossible. AIOps brings them all together and facilitates seamlessly shared visibility across all tools and domains.
According to Gartner, there are five primary use cases of AIOps namely performance analysis, big data management, event correlation, anomaly detection, and IT service management. Let me tell you some uses of AIOps in different industries.
By now, you already know that AIOps is essentially the strategic use of AI, machine learning (ML) and machine reasoning (MR) technologies to streamline and simplify processes and optimize the use of IT resources. Its benefits include-
AIOps is used in companies that use DevOps or cloud computing and provides additional insights to the development team. It eliminates the risks involved in hybrid cloud platforms, detects problems in the IT environment earlier, and allows smooth communication between teams. AIOps and DevOps amalgamate and equip operators to work smarter and build reliable services.
Reach out to us at Nitor Infotech to learn more about how you can employ AIOps along with DevOps to run your business efficiently by mitigating manual intervention and take a look at our blog to know some amazing facts on AI Engineering.
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