R&D organizations are under pressure to show results with AI, yet many are struggling to see tangible outcomes. In this fireside chat, Jonathan Welch, Director of AI/ML at Albert, explains why the answer lies in AI that is purpose-built for chemistry at enterprise scale, not general-purpose tools retrofitted for the lab. Drawing on real-world results from partners like Henkel, Jonathan will walk through what purpose-built actually means in practice, such as retrieval infrastructure optimized for scientific knowledge, quantitative prediction models trained on chemistry, and the security and scalability to deploy AI across global R&D organizations.
