AIOps helps with capacity planning by analyzing large amounts of operational data to predict future infrastructure and resource needs. It uses machine learning to identify usage patterns, detect trends, and forecast potential capacity issues before they impact performance. This allows organizations to optimize resource allocation, reduce downtime, and avoid overprovisioning or underutilization of systems. AIOps can also provide real-time insights that improve decision-making for scaling environments. In your opinion, how effective is AIOps in improving capacity planning, and what challenges might organizations face when relying on AI-driven predictions?