Top 5 predictions for AI in IT Operations

With growing alert volumes, event floods, disparate tools, and the pressure to improve IT infrastructure performance, IT Operations teams are increasingly looking to AIOps tools for accurate problem-solving and faster incident resolution. Gartner predicts that 40% of IT Ops teams are expected to have strategically implemented an AIOps platform to enhance performance monitoring by 2022. Despite the initial skepticism, AIOps is now hailed as an inevitable revolution across the industry and the future of IT infrastructure visibility and awareness. Here’s how artificial intelligence and machine learning will transform IT operations teams, processes, and outcomes:

IT Leadership Will Acknowledge the Power of AIOps

Data suggests that leadership reluctance towards adopting AI for IT Operations has gone down significantly. Gartner predicts that large enterprise exclusive use of AIOps and digital experience monitoring tools to monitor applications and infrastructure will rise from 5% in 2018 to 30% in 2023. As data and systems complexity has grown, IT leaders are starting to realize that AI will be required to keep pace with customer requirements and SLAs’. IT leaders and ITOps teams across the world are increasingly acknowledging the effectiveness of AIOps in reducing downtime and eventually plays a vital role in improving the bottom line.

AIOps Will Change The Dynamics of ITOps Roles

Experts believe that AIOps will gradually remove entry-level, redundant IT operations tasks. On the other hand, it will also create new roles like AIOps Architects, IT Ops Data Scientists, and Augmented Intelligence analysts. Organizations need to invest in retaining their employees with these new skill sets.

AIOps To Fuel Digital Transformation

AIOps will play a vital role in helping organizations accelerate their digital transformation journey. By providing end-to-end visibility into their IT infrastructure and removing redundant tasks, AIOps saves time and effort for IT operations teams. Reliable IT is critical to handle the speed, scale, and complexity of changes that digital transformation brings forth. AIOps helps you focus on your business goals by saving time and effort.

AIOps Will Be the Future Of DevOps

AIOps helps DevOps teams focus on mission-critical tasks and building better products which perform reliably. Experts believe AIOps will drive automated root cause analysis, proactive failure detection and intrusion detection. This will enable DevOps to embrace the scale and speed of modern IT operations.

Role of AIOps In Remote Work

With increased remote work and IT teams scattered across the world, thanks to the pandemic, organizations need new methods to handle the new challenges. Some experts believe AIOps could play a key role in improving the efficiency of and lightening workloads for remote workers. This will be especially true for large organizations with hundreds of offices and multiple teams. Any incident which was not proactively detected can cause massive losses and it is difficult to react in time with desegregated teams. An important promise of AIOps is auto-remediation, to proactively detect and fix common issues such as outdated patches or server thresholds that are reaching capacity.

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