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Top AIOps Trends to Keep an Eye on in 2022
AIOps artificial intelligence for IT operations can assist all enterprises, especially because each company deals with a unique set of processes. AIOps assists with process automation and monitoring, as well as management services. Every year, as AIOps solutions become more popular, new trends emerge. These trends are based on the present state of the market. By 2025, nearly 60% of infrastructure and operations (I&O) teams will be using AI-augmented automation systems in daily business processes, according to Gartner. These company operations will continue to be influenced by trends in 2022, ensuring growth and operational efficiency.
Top AIOps Trends for 2022
New AIOps developments will open more opportunities for automation and optimization. Following are some of the top trends to look out for:
- Cyber Security Automation
Security is essential for every business, and most companies invest in the best cyber security services companies to ensure that all sensitive data is protected. One can expect to see businesses adopt AIOps solutions for prediction and remediation in the coming year. Algorithms can be implemented to monitor systems and detect patterns that create opportunities for security breaches. Cyber security automation with AIOps can help with real-time monitoring and detection of deviations. If an issue is identified, a set of automated defensive tactics will be deployed by the system to eliminate the threat before causing any serious damage.
- Data Proliferation
Businesses often use data center consolidation initiative services, and while they are necessary, it is also crucial to understand which data needs to be processed and analyzed. Thus, AIOps can be expected to improve data proliferation techniques in the future. With AIOps, operations teams will use edge and cloud implementation to drive the data proliferation system.
- Quick Delivery of Infrastructure Components
Much time is usually taken in delivering infrastructure components, which are usually related to the data center and colocation. If the deployment time is reduced, the fuel enterprise responsiveness will automatically increase. AIOps will be able to do this and thus, ensure that businesses are better positioned to negotiate and offer improved digital experiences to clients.
- Management Integration
As businesses continue to receive and deal with large volume of dissimilar data, it is essential to find tools to monitor and manage the collection and analysis of data. IT infrastructure managed services are therefore available for businesses that require them. However, operations teams and IT professionals are expecting to continue using AIOps in the near future to manage data and gain newer tools that will ensure better outcomes. The use of AIOps for management purposes can help to integrate both IT service management (ITSM) and artificial intelligence operations. This will allow businesses to automate and optimize processes quicker and thus, generate better responses to the services.
- Enabling Hybrid and Remote Work
Over the past couple of years, most business teams work from home. The shifting of hardware and software to support the existing work-from-home facilities will create digital traffic. If this traffic increases or becomes more complex, it can lead to difficulty in collecting data. If data collection is not properly done, IT infrastructure will be affected. A new trend in AIOps would be to ensure that all dissimilar data is managed and segregated, enabling work-from-home policies. This AIOps trend would guarantee the automation of data analysis and help ingest huge volumes of data through intelligent algorithms. This would ensure that there are no issues in shifting to remote or at least hybrid environments.
- Increased Observability
A recent development is companies using a particular cloud migration assessment tool for business. While cloud migration is essential, it is also important to find a cloud monitoring system with high observability and will unify all tools to provide the service. It is expected that a new trend in AIOps will ensure this. Usually, observability data is related to metrics that help with deep diagnosis, quick indicators, and detection. AIOps data, on the other hand, is focused on offering comprehensive insights on entire tech stacks. In 2022, businesses can expect to bring both types in a single platform to increase observability.
- Leveraging Digital-Native Systems
Several companies have had cloud-based systems or other similar digital capabilities from the beginning of their business. Such businesses are known as digital-native businesses. In the future, AIOps solutions can help maintain and leverage these digital-native systems and their counterparts to create agile and innovative solutions.
Why is AIOps still important for businesses?
For the past few years, businesses have benefited from using AIOps digital transformation solutions. This implementation, which will take place in 2022, will maximize positive responses to services and products. AIOps remains relevant and important, especially in the corporate world, which requires new and advanced technological skills. Because technology is continually evolving and changing, there may be a skills or talent gap in the IT sector. AIOps is a new concept that can provide solutions to automate and optimize business processes to achieve the best results and produce the most revenue. In the coming year, the newest developments in AIOps solutions will match public cloud with edge usage and integrate tools that encourage business-based ideas and thinking.
There is a need to apply AIOps at every step of the journey as more digital-native businesses emerge. Traditional infrastructure-based businesses are striving to innovate and migrate to hybrid, if not entirely cloud-based, systems. This can only be accomplished with the use of AIOps.
Conclusion
IT Automation with AI has been essential to businesses with cloud-based or hybrid IT environments. According to Douglas Toombs, the Research Vice President at Gartner, almost 40% of the business staff act as technologists and rely on IT departments. Therefore, the newest trend in AIOps includes just-in-time infrastructure, hyperautomation, and composable technology. Hyperautomation through AIOps will make way for several intelligence systems, especially those related to incident response automation. These trends help streamline and optimize all infrastructure and business operations to create better services and improve digital experiences.
