2022 AIOps Forecast: Trends and Evolutions

    The COVID-19 pandemic has changed many things in the last two years, from the way we talk to the way we work. The pandemic has compelled enterprises all over the globe to accelerate the pace of the adoption of digital technologies. This shift has led to an increase in streamlining and automating information technology (IT) operations using artificial intelligence (AI) and machine learning (ML) technologies. Along with making the life of the consumer seamlessly easier, all these digital transformation initiatives have resulted in more incredible speed and less waste in enterprise IT operations.

    As businesses worldwide have embraced digitization and virtualization, another trending buzzword emerged: AIOps. Artificial intelligence for IT operations, or AIOps, is the technology that converges big data and ML. This latest technology seamlessly automates enterprise IT operation processes, including event correlation, anomaly detection, and causality determination.

    The following are six key trends and evolutions that can shape AIOps in 2022.

    1. The C-Suite’s Increased Interest in AIOps

    The International Data Corporation (IDC) forecasts that global enterprise spending on AI frameworks is expected to double in the next four years, reaching approximately $110 billion in 2024.

    The use cases of AI have been increasing exponentially in the business world. But what caught the eye of the C-suite is the ease with which AI can handle IT operations as they are going through an advanced transformation phase. The C-suite of businesses worldwide is getting ready to tap into both the short-term and long-term advantages of AIOps. They are aware that the implementation of AIOps can simplify their administration tasks, DevOps, and information security (InfoSec). Along with that, as AIOps tools evolve for the better, they will be able to process a wider variety of data types. As a result, it can lead to speedy and accurate delivery of business value and enhance the performance of more specific enterprise operations.

    2.The Expansion of Incident Management Capacities

    AIOps will be extensively utilized to enhance natural language processing (NLP), cause analysis, event correlation, and anomaly detection among various IT functions in the coming years. In this way, it offers more control to IT tasks experts. These IT tasks, particularly event correlations and incident intelligence, can be consistently accessible inside a functional IT team’s optimal incident management platform. In addition, irregularities in the system can be proactively identified and rectified.

    3. An Extensive Automation in a More Intelligent Way

    The significant advantage of AIOps is its ability to automate IT operations. To this day, the automation ability of AIOps has been operating in a limited space. AIOps tools could handle only a single type of solitary information at a time. But, today, the emergence of new AI algorithms can deal with numerous data types at double the processing power.

    Today, only a few enterprises use robotic data automation (RDA) and AIOps to deal with data issues. However, the adoption rate of RDA and AIOps will increase in the coming years, drastically diminishing the requirement for human intervention in enterprise operations. A recent study reveals that the global AIOps market will surpass $3 billion by 2025 at a CAGR of 43.7% from 2020 to 2025. All of this research and observations leads many to anticipate that most AIOps tools will turn into more innovative and developed devices in 2022.

    4. Enhancing Cybersecurity

    Today, businesses worldwide rely more on IT operations to smoothly run their business and boost performance. Indeed, despite all the innovations and progress in IT operations, cybersecurity stands as the primary concern among business organizations. Moreover, the need for cutting-edge cybersecurity systems increases when more enterprises begin to transform themselves digitally.

    AIOps seems to have more scope in 2022 as it incorporates high-end security features. Utilizing AIOps allows an enterprise to identify security issues and proactively deploy preventative measures immediately. Similarly, it can increase uptime and eliminate the downtime of enterprise IT systems. For instance, AIOps can help an enterprise distinguish between reliable access and unreliable access from users. Once differentiated, it can automatically block the entry of any suspicious user into the system.

    Also read: The Pros and Cons of Enlisting AI for Cybersecurity

    5. AIOps Will Merge With DevOps

    Traditional IT tools cannot deal efficiently with the volume, velocity, and variety (the three Vs) of big data. The advent of advanced analytics tools, AI algorithms, and deep learning models helps DevOps professionals to handle data effectively. In addition, AIOps allows rapid data processing, performs deep data analysis, and automates routine IT tasks.

    In test monitoring and management, performance, and security, AIOps assists DevOps engineers to a greater extent. Moreover, AIOps comes with secured solutions to complex IT infrastructure management and monitoring tools of cloud solutions. It can easily automate routine DevOps operations and data analysis. In short, the convergence of AIOps and DevOps is something worth watching in 2022.

    Also read: Top DevOps Trends to Watch in 2022

    6. The Widespread Adoption of 5G Technology

    In 2022, the rate of 5G adoption is widely expected to outpace 4G technology. In its November 2020 report, Ericsson predicts that 5G technology will surpass three billion subscriptions by 2026, turning it into the fastest mobile network generation ever to be rolled out on a global scale.

    Regarding AIOps, 5G technology will lay a solid foundation for an intelligent, connected environment. It is not due to its superior speed over 4G technology but its reliability and low latency. Several leading global companies have already begun rolling out 5G-enabled Internet of Things (IoT) devices like smartphones and biometric devices.

    These technological developments will lead to more data generation and transfer at higher speeds. Moreover, it is doubtless that 5G will reshape the technology and mobility landscape over the next decade. Therefore, the demand for technology like AIOps will rise in the coming days whether enterprises ride the 5G wave or not.

    There is great excitement around the 5G rollout on a global scale. From high-speed mobile networks to remote healthcare and education, the possibilities of 5G are limitless. It’s the right time to embrace AIOps to uncover the business benefits from adding value for your customers.

    Also read: 5G Cybersecurity Risks and How to Address Them

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    AIOps’ Future in Enterprises

    The current global business ecosystem is fast-paced, and humans alone cannot keep up with this pace. AIOps optimizes IT processes and, in turn, aids in reducing manual effort and smooth running of business processes.  

    AIOps is a game-changer for enterprises that are slow to adapt. The strategic relevance and visibility of enterprise IT is growing alongside the need for optimal performance and continuous availability. Currently, AIOps is challenging the IT segment of enterprises worldwide. This trend will continue in the coming years.

    Today, instead of sustaining legacy systems, enterprises have begun utilizing AIOps to eliminate problems, save costs, improve customer relationships, and divert the workforce to focus on developing cutting-edge technological solutions.

    A brighter future awaits AIOps. As technology becomes more user-friendly, it will unlock the potential of big data and significantly reduce business expenses. The sooner your enterprise begins to utilize AIOps, the better it is for the future of your business and its IT operations.

    Read next: Top 8 AI and ML Trends to Watch in 2022

    Kashyap Vyas
    Kashyap Vyas
    Kashyap Vyas is a writer with 9+ years of experience writing about SaaS, cloud communications, data analytics, IT security, and STEM topics. In addition to IT Business Edge, he's been a contributor to publications including Interesting Engineering, Machine Design, Design World, and several other peer-reviewed journals. Kashyap is also a digital marketing enthusiast and runs his own small consulting agency.

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