AI and Predictive Analytics in Manufacturing — Use Cases, Benefits & Challenges
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AI and predictive analytics are transforming the manufacturing industry by enabling data-driven decision-making, improving operational efficiency, and reducing downtime. By analyzing data from machines, sensors, and production systems, AI-powered solutions can predict equipment failures, optimize maintenance schedules, enhance quality control, and improve demand forecasting. These technologies help manufacturers increase productivity, lower operational costs, and streamline production processes. However, challenges such as data quality issues, system integration complexities, infrastructure requirements, and implementation costs must be addressed to maximize the benefits of AI and predictive analytics in manufacturing.
