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.
Table of contents
AI plays a pivotal role in sustainable manufacturingSustainability manifests itself in three ways within manufacturing
Ten ways in which AI will enable sustainable manufacturing
Table of figures
Figure 1. Operational excellence priorities for 2023Organisations mentioned
ABB, Advanced Technology Services (ATS), Americold, aPriori, AspenTech, Augmentir, Augury, AVEVA, Barilla, Benchmark Gensuite, BrainBox AI, C3 AI, Centrica Business Solutions, Clarity AI, Cosmo Tech, Datamaran, Empire State Building, Falkonry, GE Digital, GLYNT.AI, Hexagon, IBM, IFS, Intelex, Kitov.ai, Michelin, New Belgium Brewing Company, Plainsight, Procter & Gamble, PTC, Siemens, Trendminer, Tucker's Natural, VelocityEHS, Visionify, Voxel, WINT, World Bank, World Economic Forum (WEF)About the authors
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