Innovation is the top priority of every R&D organization, yet most R&D teams spend the majority of their time just keeping existing products on the shelf. In this session, we'll diagnose why, tracing the root causes across administrative overhead, regulatory and supply chain volatility, and the bottlenecks that accumulate during product development iterations. We'll then examine why general-purpose AI fails to address these problems structurally, and why the answer lies in AI that is purpose-built for chemistry at enterprise scale. Drawing from real-world outcomes from our partners, we'll share how chemistry-native AI is breaking down knowledge silos, reducing development cycles, and transforming customer interactions, turning R&D from a cost center to a growth engine.
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Dr.-Ing. Franz Lanyi is a Solutions Scientist at Albert, where he works with R&D teams in the chemical and materials science industry on digitalizing their research and development processes. He holds a PhD in Materials Science from Friedrich-Alexander-Universität Erlangen-Nürnberg, where he focused on the research of new polymer additives and on processes for producing microfibers and nonwovens. During his doctoral work he developed novel additives for the hygiene industry in cooperation with Procter & Gamble. Before joining Albert, he spent about ten years in industrial R&D. At BASF Construction Chemicals / Master Builders Solutions, he led a laboratory and was responsible for building up a competence center for research and product development in alternative concrete reinforcement. He then worked as Technology Manager at Kordsa, where he led global R&D initiatives and product development for construction reinforcement from ideation to launch. Furthermore, he served as a Technical Officer and a board member of the leading industry association for the use of synthetic macrofibers in concrete. He is a certified Six Sigma Black Belt with experience across the full development cycle, from lab-scale research to product launch.
