Market Insight: 10 Applications Of AI For Sustainable Manufacturing
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Executive Summary
Advances in AI and analytics are transforming the value of data for organizations. As firms develop and strengthen their data management architecture, the range of deployment options for advanced software in manufacturing is multiplying. This report dives into the various ways a firm can leverage AI-driven insights to improve its sustainability, taking a broad perspective that considers worker safety, yield optimization and reductions in environmental footprint. The report capitalizes on findings from Verdantix research to understand firms' sustainability priorities and connect them with today’s array of solutions. It aims to bridge the gap between organizational sustainability goals and the practical solutions that exist to help meet these objectives.Sustainability manifests itself in three ways within manufacturing
Ten ways in which AI will enable sustainable manufacturing
About the Authors
Lucas Sala
Analyst
Lucas is an Analyst at Verdantix, conducting research into the application of AI in industrial operations, focusing on GenAI copilots, predictive analytics and digital twins. ...
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Malavika Tohani
Research Director
Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...
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