AI can transform manufacturing, but this e-book stresses that success depends on choosing high-value use cases, aligning AI and data strategies, improving data access, developing talent, and building scalable infrastructure. It focuses on inventory management, predictive maintenance, and knowledge management. AI can forecast demand, optimize stock, prioritize machines, predict failures, generate repair plans, and preserve worker expertise. MongoDB Atlas acts as an AI data layer for structured and unstructured information, while Atlas Vector Search supports semantic search and RAG. By connecting inventory, sensor, maintenance, manuals, work orders, and expert knowledge, Atlas reduces silos and supports faster decisions, with added uses in quality control, logistics, production, and after-sa

Join for free to read