Observability is a critical component in accelerating the adoption of Artificial Intelligence (AI) by CIOs and CTOs, as it enables them to monitor, analyze, and improve the performance of complex systems and applications. By gaining visibility into system behavior, organizations can identify issues before they become major problems, optimize AI models for better results, and develop more effective strategies for managing risk and uncertainty. Observability also helps organizations to provide better support for their users by identifying areas where AI is not meeting expectations and making data-driven decisions about how to improve it. This enables CIOs and CTOs to make informed decisions about the adoption of AI technologies and ensure that they are aligned with business goals and objectives.