THE INTRICACIES OF UTILIZATION OF ARTIFICIAL INTELLIGENCE IN ENGINEERING
Abstract
The study aims to tackle the obstacles to effectively utilizing artificial intelligence to meet customer needs, including its application in the design phase of complicated technical systems and product design based on end-user specifications. This scholarly inquiry presents a summary of recent research and undertakes an analytical investigation of the challenges, along with suggestions for alternative methods for integrating AI into the creative work of engineering teams. The analysis is grounded in recent literature focused on evaluating the role of AI in knowledge-intensive industries, delineating diverse approaches to harnessing AI capabilities across various sectors of the economy. It provides insights into how expert professionals involved in innovative developments interact and highlights opportunities offered by AI to deliver products that meet expected quality standards while considering nuanced customer expectations regarding product quality. The argument presented asserts that achieving this goal can be realized primarily through the effective utilization of AI potential by expert engineering groups. Artificial intelligence and human intellect play crucial roles in the field of engineering as they improve the efficiency and adaptability of complex products. While AI can streamline automation, reduce manual intervention, and optimize engineering processes, leading to increased productivity and faster project completion, it faces challenges in comprehending intricate requirements for complex products, an area where engineers contribute significant intellectual capital and problem-solving skills. Collaborative efforts between AI technology and human expertise hold promise for a more comprehensive innovation process that addresses demanding product requirements from customers. Additionally, this collaboration may lead to new opportunities for innovation while nurturing a culture that embraces continuous learning to uphold responsible industry practices. With ongoing evolution in engineering pursuits, professionals must adopt a multidisciplinary approach by integrating cutting-edge technologies with traditional expertise within the discipline to fully leverage the potential of AI in engineering. It is argued that achieving this goal relies on professional engineering groups effectively harnessing the potential of AI.
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