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Manufacturers are increasingly shifting their focus from the theoretical applications of artificial intelligence to practical solutions that address real-world challenges. While discussions around AI have primarily centered on software tools such as dashboards, analytics, and predictive models, industry leaders are now seeking ways for AI to not only identify problems but also actively contribute to solving them. This evolution in perspective reflects a growing recognition of AI's potential to enhance operational efficiency and drive innovation within the manufacturing sector. As companies explore these advancements, the emphasis is on integrating AI technologies that can deliver tangible results and improve decision-making processes on the shop floor.
RoboticsAndAutomationNews.com By Sam Francis Jun 04, 2026 Components Features Manufacturing ai robotics artificial intelligence automation newsRSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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