Many organizations are burdened by time-consuming information searches and complex bureaucratic processes that drain valuable resources. This session takes you on a journey from those challenges to a cutting-edge AI-enabled solution. Focusing on a real-world case study from a wind and PV park developer, we'll explore how integrating Microsoft's Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) architecture transformed their information retrieval process. By leveraging natural language search across project documents, the company dramatically improved efficiency and reduced bureaucratic overhead.

We'll showcase the existing data architecture, technical challenges encountered, and how these were solved with Microsoft's AI services. Attendees will see the solution in action, highlighting the architecture and how it can be adapted to other industries. Learn how to use AI to enhance internal processes and reduce operational inefficiencies, while unlocking the full potential of Microsoft's latest AI tools and services.