Build, Evaluate and Deploy a RAG-Based Retail Copilot with Azure AI

Learn to build, evaluate, and deploy an enterprise-grade RAG-based retail copilot using Azure AI Studio and Prompt flow in this comprehensive conference talk. Discover the paradigm shift to LLMOps required for production generative AI applications, exploring new tools, platforms, and processes for orchestrating end-to-end development workflows. Follow a code-first approach as you progress from ideating your scenario with your data, through local and cloud-based quality evaluation, to real-world deployment. Gain insights into the complete lifecycle of enterprise copilot development, including best practices for building robust AI applications that can handle production-scale requirements. The session covers practical implementation strategies, evaluation methodologies, and deployment considerations essential for creating effective retail AI assistants. Presented by Cedric Vidal, Principal AI Advocate at Microsoft with extensive experience in generative AI and startup ecosystems, and David Smith, Principal Cloud Advocate leading Microsoft's AI and Machine Learning developer relations team with over 20 years of AI/ML experience across diverse industries.