Overcoming AI Adoption Challenges in Manufacturing and Supply Chain
· Source: aimagazine.com
In short
AI is transitioning from experimentation to operational necessity in manufacturing and supply chain management, yet organizations face significant challenges related to data quality, model governance, and workflow integration. Success requires centralization of data stewardship, cross-functional collaboration, and a shift toward proven operational applicability with domain-specific solutions. The increasing importance of vertical-specific AI is reshaping ERP systems, emphasizing the need for vendors to enhance industry expertise and deliver measurable outcomes through integrated solutions.
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In the issue of week 1, 2026: Agentic AI Orchestrates Autonomous, Explainable, and Resilient Supply Chains
Tags: manufacturing, ERP, automation, data, governance, integration