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In today's digital landscape, providing a seamless customer experience (CX) has become a top priority for IT operations teams. They are increasingly turning to observability and AIOps to achieve this. However, the study found that organisations face several challenges while adopting both technologies.
The primary challenge with observability was a lack of understanding. More than 57% of the IT decision makers who responded stated that their organisation was not fully familiar with the concept of observability. Similarly, more than 65% of respondents said their organisations lacked a proper understanding of AIOps and its use cases. Other common challenges include technical complexity, concerns about cost and return on investment and lack of a clear implementation strategy. Organisations thus run the risk of not deriving the full value of observability and AIOps if they don't address the knowledge gaps that exist currently.
Customer expectations today have skyrocketed, leaving no room for even the possibility of the slightest downtime or service disruption. To stay ahead, IT teams must ditch siloed management and embrace ITOps solutions with advanced AI- and ML-powered observability. In fact, 62% of the respondents said that a unified ITOM solution with observability and AIOps functions would help them to proactively identify performance bottlenecks.
"Despite the challenges, the benefits of observability and AIOps in delivering superior customer experiences and driving business growth are clear. As organisations continue to prioritize CX initiatives, they are likely to invest in these technologies. We are committed to providing world-class solutions that will empower ITOps teams in their journey," said Mathivanan Venkatachalam, vice president at ManageEngine.
