Session Title

Enterprise AI in Action: Building an AI Assistant for Scientific Research

Session Overview

While Generative AI has captured the world's attention, many organizations still struggle to move beyond experimentation and build AI solutions that deliver real business value. This session takes attendees behind the scenes of a real-world Enterprise AI implementation, showcasing how a global pharmaceutical organization transformed decades of fragmented scientific knowledge into an intelligent AI Assistant that accelerates research and decision-making.

Through this case study, participants will explore the complete journey, from understanding the business problem and preparing enterprise data to designing an Enterprise RAG architecture, implementing AI governance, and deploying a scalable, production-ready solution. The session will also share practical lessons learned, engineering challenges, and key success factors for operationalizing AI in enterprise environments.

Whether you are a student beginning your AI journey, a technology professional building AI solutions, or a business leader shaping AI strategy, this session will provide actionable insights into how organizations can move from AI experimentation to enterprise-scale adoption and measurable business outcomes.