AI is transforming business operations and decision-making, yet deploying large language models (LLM) and machine learning (ML) models within organizations introduces critical challenges around trust, reliability, and ethics. This keynote will highlight how AI observability is critical to governance, risk management, and compliance —and directly influences return on investment (ROI). Drawing from real-world case studies and industry best practices, we will address the operational challenges that arise when deploying LLM and ML applications. Attendees will learn key metrics and frameworks to evaluate, monitor, and analyze LLM and ML use cases that are essential in high-stakes industries such as finance, manufacturing, and healthcare. You will discover how AI observability has become indispensable for leveraging the full potential of LLMs and ML, driving growth, and fostering trust in AI-driven decision-making.