Enterprises are harnessing the power of Generative AI (GenAI) like never before. Buzzwords like ChatGPT, OpenAI, Gemini, and Co-pilot are everywhere. To meet high expectations and avoid another AI winter, it's crucial to deliver robust and reliable AI products.

This session starts with a brief overview of GenAI fundamentals to establish a common understanding of its capabilities and limitations. We will then dive into Retrieval-Augmented Generation (RAG) and its versatile applications across various business and technology sectors. We will discuss the challenges of moving from demos to real-world implementations, including the necessity of LLMOps. Real-world use cases will be presented to highlight these points. Additionally, we will cover Responsible AI to ensure ethical AI usage.