Join us as we explore the transformative potential of Generative AI and Retrieval-Augmented Generation (RAG) in the world of enterprise applications. In this episode, we’ll uncover the latest trends, innovations, and best practices in software engineering, showcasing how these cutting-edge technologies are revolutionizing the way enterprise apps are built and deployed. From AI-powered development tools to RAG-based architectures, we’ll discuss how businesses can leverage these advancements to create smarter, more efficient solutions.

Key Themes:

Enterprise Readiness of Generative AI: Addressing critical challenges like security, privacy, scalability, and reliability to unlock AI’s full potential in enterprise settings.

Retrieval-Augmented Generation (RAG): Grounding generative AI in factual, enterprise-specific data to enhance accuracy, trustworthiness, and usability.

Data Observability: Ensuring robust data pipelines and maintaining data quality, reliability, and security for AI-driven applications.

We’ll also feature LootMogul as a case study, highlighting how they’re building enterprise AI apps for sports organizations. Whether you’re a software engineer, tech leader, or AI enthusiast, this episode will provide valuable insights into the future of enterprise software engineering.