Krishna Gade

Large language models (LLMs) are transforming business operations and decision-making. However, deploying these models in enterprises presents significant trust, reliability, and ethical challenges. This talk will explore how AI observability ensures the performance, reliability, and transparency of LLMs, providing essential monitoring, diagnostics, and interpretability. Through real-world case studies and industry best practices, we will highlight risks and challenges in deploying LLMs and generative AI. Attendees will learn key metrics and frameworks for LLM evaluation, governance, and monitoring, which are essential for trust in high-stakes industries like finance, manufacturing, and healthcare. You will discover how AI observability is not just a tool but a necessity for harnessing the true power of LLMs, driving growth, and fostering trust in AI-driven decision-making across diverse sectors.