AIOps, or Artificial Intelligence for IT Operations, is gaining attention as companies strive to enhance their digital capabilities and manage growing infrastructure and data volumes without increasing headcount. While many vendors claim to offer AIOps solutions, skepticism exists regarding its true value, with some viewing it as mere marketing hype. However, AIOps holds potential for real-time monitoring and insights by leveraging AI and machine learning to analyze vast data sets, though its effectiveness hinges on clearly defined business objectives. Challenges persist, especially regarding the expectation that AIOps can predict unprecedented events, which often leads to disappointment. Central IT organizations frequently seek AIOps for tasks such as noise reduction and anomaly detection, but they may face cultural and organizational hurdles, especially when imposing solutions on decentralized teams. The evolving nature of operations towards decentralized models suggests potential benefits for AIOps, as it allows for more specialized event management. PagerDuty, through discussions and webinars, aims to clarify AIOps' role and utility, advocating for collaboration between centralized and decentralized teams to maximize its impact.