As the complexity of modern products grows, so does the challenge of accurately assessing their environmental impact. For Managed LCA Content (MLC), the intricate data requirements for a credible Life Cycle Assessment (LCA) on a broad scale of products and processes present a significant hurdle, demanding precision that current methods struggle to provide.
Join our experts with 30+ years of experience to discover how the landscape of LCA data is shifting. Is Artificial Intelligence revolutionizing data creation for MLC? How can we meet the quantitative but also quality demands for the fast paced evolution of the LCA market? How shall data evolve to meet demands of integrated sustainability solutions?
This session will provide a strategic overview of how new AI-driven and other methodologies support the collection and processing of complex material data while efficiency, accuracy and reliability are balanced into the equation.
We will cover:
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How AI supports the unique data challenges of managed databases in LCAs.
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Leveraging AI – a conflict to enhance data quality and confidence for sustainability reporting?
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The role of intelligent automation in accelerating product carbon footprint calculations.
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Real-world applications demonstrating how AI supports advanced data creation and sustainability goals.
Register now to learn how to identify the actual requirements for reliable data supporting your LCA process, ensuring you are equipped to meet the demands of product transparency and climate accountability with confidence.
Speakers:
