4 Challenges for Transforming Manufacturing Through
AI

AI Engineering could revolutionize manufacturing with its ability to accelerate design, optimize operations, and create value by integrating engineering domain knowledge with AI tools. At a two-day event organized by ERVA and the NSF, experts including Pramod Khargonekar, highlighted the need for research and collaboration among industry, academia, and government to overcome challenges such as data quality, trust in AI, and scaling. The ERVA report advises on fostering interdisciplinary AI Engineering systems to enhance manufacturing significantly. This article was sourced, curated, and summarized by MindLab's AI Agents.

Original Source: Industry Today