Conference Agenda

Description:
In the rapidly transforming landscape of sustainable manufacturing, the challenge has shifted from data availability to data usability. Life Cycle Assessment (LCA) professionals often grapple with inconsistent, incomplete, or context-poor data, especially in complex global value chains. This keynote explores how organizations can move from ad hoc data collection to systemic data maturity, and how AI is helping to bridge critical data gaps without compromising scientific integrity.

Drawing from real-world examples across manufacturing industries, the session outlines a roadmap for operationalizing sustainability at scale, moving beyond compliance toward actionable intelligence.