AIOps Trends in 2021

Gartner introduced the word ‘AIOps’ back in 2017, and ever since, the enterprises have been adapting to the various strategies to streamline their IT operations. AIOps is a successful venture because it meets the challenges and tackles the amount of data created in the tech infrastructures amid complex architectures.

We have already stepped in 2022, and 2021 came with evolution in the IT enterprises considering the change in the work culture, operations, and virtual meetings due to pandemics. Many enterprises adopted the work from home culture and maintained smooth services.

As businesses are already adopting the revolutionized digital transformation, one must stay ahead and keep up with the latest AIOps trends. And AIOps helped enterprises meet the latest challenges and stand firm amid the market. Here are the few trends that changed the way organizations operate and adopt AIOps.

Growing With AIOps

It was mandated to adapt to new technologies such as AI and ML. And with the caliber of AIOps, AIOps will always be among the discussions when people talk about digital transformation and IT operations. As per the predictions by PWC 2021, more than 50% of businesses have already adopted AIOps or considered adopting AIOps in their routine operations.

IT leaders are opting to embed AI and ML, not just into IT operations but also in marketing, sales, and security. And with everything becoming digital, the operations are turning too challenging and complex to execute with traditional approaches. This is one reason why AIOps was trending this year, as lots of organizations got on board with AIOps solutions.

Virtualization and Remote Working

The hit of Covid-19 shook the entire world, and there, a lot of IT companies changed the traditional way of working, making everything online with Hybrid infrastructure. According to the report by Transposit, more than 90% of DevOps, SRE, and IT professionals witnessed growth in service incidents due to AIOps.

AIOps has helped enhance performance by monitoring and predicting behavior. AIOps receives the input data, processes it, applies intelligence, and produces efficient value to the enterprise.

The ability to perform operations from anywhere and at any time made using AIOps trendy. As it doesn’t affect employee productivity and customer experience but makes it better. Here are a few more reasons why enterprises adopted AIOps amid remote working and hybrid infrastructures.

• Transparency: One of the company’s major issues, while the employee is working from home, is visibility and keeping track of operations. Where AIOps helped enterprises keep track of operations and execute them successfully, it also provides enterprises visibility across the organization.
• Troubleshooting: Employees often go through common issues in routine operations. AIOps can be a real game-changer here as it notifies the team about the ongoing issues and provides a profound solution with the help of historical data of every employee, their performance, assets, and operations.
• Downtime & Scalability: When everyone is working remotely, it’s tough to diagnose a person behind any failure. With AIOps on hand, it resolves your that problem with excessive audit trails and proactively informs the team before any device/employee/database gets exhausted due to capacity.

Hyper Automation

The whole idea behind adopting new technology or practices is to streamline the routine operations, making them more intelligent and faster. And that’s where the concept of automation comes into the picture. Automating monotonous tasks and executing them at speed with no human intervention was one of the leading trends in 2021.

The AIOps solution works on the centralized data and alerts the IT teams whenever the system detects any potential failure, saving a lot of workforce. Automation doesn’t state that AI replaces the ongoing traditional practices, but an assistant for the businesses and employees to smarten up the routine procedures.

The top analysts predict, by 2024, organizations will enhance the use of such technologies to reduce the operational cost by as much as 30%. This only signifies the impact of hyper-automation in low-code solutions in the marketplace. The capabilities are endless.

Higher Security

A survey by IBM in 2020 says that over 4000 EU, US, and Chinese businesses opted for AI implementation because of the cyber security it offers. The fear of security breaches and malware attacks increases with the more prominent and complex architectures.

Many experts see the use of AIOps in enterprises as the next big thing in cyber security. As AIOps learns from human behavior and previous breaches, it prevents any upcoming potential violations as well. And any business would opt for a secured infrastructure. Hence, it trended this year.

Facebook came up with Metaverse, introducing new technologies, and increasing investment in crypto currencies raised many fresh security concerns. And AIOps comes to the rescue, securing the operations like never.

AIOps Market and Growth

It wasn’t just the AI capabilities that grew in 2021, but the players themselves, AIOps solution providers, also became competitive. Processing the different kinds of data helped the service providers stand firm and distinguish in the market.

It was predicted back in 2020 by Mordor Intelligence that the AIOps market would grow from 13.51$ billion in 2020 to over 40$ billion by 2026. And the way modern organizations and enterprises continue to adopt such technologies would take no more time to achieve the fit. AIOps powered by Motadata is a powerful solution that caters the market challenges and customer needs. The solution is designed with AI and ML technologies, offering rich abilities and keeping you stand firm in the market. Feel free to reach out to us at sales@motadata.com.