The Integration of Artificial Intelligence in Engineering Design, Manufacturing, and CAD: A Triangular Revolution of Innovation, Efficiency, and Automation

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Integrating artificial intelligence enhances productivity in manufacturing by optimizing processes and reducing costs.
Predictive maintenance using machine learning decreases downtime and repair expenses through advanced data analysis.
AI-driven computer-aided design transforms engineering by automating tasks and generating innovative designs swiftly.
Challenges like data quality and initial investment limit AI's widespread adoption, despite its promising benefits.

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Observational analysis highlights AI's impact on manufacturing efficiency and design innovation.

Ibrahim et al. (2025) studied this question.

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