Wins and challenges: What it really takes to integrate AI effectively in materials innovation?

This talk examines both the successes and pitfalls of applying AI in advanced materials R&D, with a clear focus on what actually works in practice. Attendees will gain concrete lessons learned, practical strategies, and a roadmap for building the structured, high-quality data foundation required for predictive modeling, automated experimentation, and long-term knowledge retention. The session is highly relevant for R&D and innovation executives seeking to accelerate discovery, shorten development cycles, and create sustainable competitive advantage through data-driven R&D.