Artificial intelligence (AI) and machine learning (ML) are transforming observability practices by enhancing the ability of IT to understand complex systems, predict issues, and automate responses. AIOps, the application of AI to IT operations, helps organizations improve system performance, availability, and reliability by reducing downtime and accelerating issue resolution. Key AIOps use cases include anomaly detection, alert noise reduction, probable root cause analysis, automation, and proactive outage prevention. As AI becomes more prevalent, explainable AI will be crucial for building trust and driving adoption of AIOps solutions. Ultimately, the goal is to leverage AI to predict and prevent issues, enabling IT staff to focus on strategic initiatives and improve business outcomes.