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The article presents insights from six industry leaders on the anticipated technologies in manufacturing for 2025, with a strong emphasis on artificial intelligence (AI). Experts highlight the practical applications of AI, particularly in robotics and predictive maintenance, which are expected to transform manufacturing processes. The integration of AI with digital twins and advanced sensors is set to enhance operational efficiency and decision-making capabilities.
AI's role in inventory management and supply chain optimization is also discussed, showcasing how predictive analytics can minimize downtime and reduce costs. The article emphasizes the need for customized AI solutions tailored to specific manufacturing processes, which are predicted to yield higher returns on investment. As the industry faces a workforce gap due to retirements, AI is seen as a crucial tool for upskilling and maintaining operational continuity.
• AI is expected to enhance robotics and predictive maintenance in manufacturing.
• Customized AI solutions will outperform generic options, improving ROI.
AI is utilized to enhance manufacturing processes through robotics and predictive analytics.
Predictive maintenance leverages AI to forecast equipment needs, reducing unplanned downtime.
Digital twins are virtual models that simulate physical assets, enabling better decision-making through AI.
This institute focuses on integrating AI into robotics to improve manufacturing efficiency.
Cognizant emphasizes the use of AI for data analysis and customer engagement in manufacturing.
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