Artificial Intelligence (AI) is transforming industries by automating processes, optimizing production, and enabling data-driven decision-making. Evolving from basic automation to advanced machine learning and deep learning systems, AI is driving the shift toward intelligent, adaptive, and sustainable industrial ecosystems. Through innovations such as smart factories, cyber-physical systems, and digital twins, AI enhances productivity, quality control, and predictive maintenance while reducing downtime and waste. Its applications span manufacturing, logistics, and energy management, improving forecasting, inventory control, and resource efficiency. Despite challenges like high implementation costs, workforce adaptation, and cybersecurity threats, AI continues to shape the future of industrial operations. Emerging technologies such as edge AI, 5G connectivity, and advanced digital twins are expected to further enhance efficiency, resilience, and sustainability, solidifying AI's role as the cornerstone of modern industrial transformation and global competitiveness.
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Dr. G. Kalaiarasi, B.Tech., M.E.,Ph.D., Assistant Professor, Sathyabama Institute of Science and Technology.Dr.M.Selvi, B.E., M.Tech., Ph.D., Associate Professor, Sathyabama Institute of Science and Technology.Dr. E.Srividhya, B.Tech., M.E.,Ph.D.,Assistant Professor, Sathyabama Institute of Science and Technology.
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Paperback. Zustand: new. Paperback. Artificial Intelligence (AI) is transforming industries by automating processes, optimizing production, and enabling data-driven decision-making. Evolving from basic automation to advanced machine learning and deep learning systems, AI is driving the shift toward intelligent, adaptive, and sustainable industrial ecosystems. Through innovations such as smart factories, cyber-physical systems, and digital twins, AI enhances productivity, quality control, and predictive maintenance while reducing downtime and waste. Its applications span manufacturing, logistics, and energy management, improving forecasting, inventory control, and resource efficiency. Despite challenges like high implementation costs, workforce adaptation, and cybersecurity threats, AI continues to shape the future of industrial operations. Emerging technologies such as edge AI, 5G connectivity, and advanced digital twins are expected to further enhance efficiency, resilience, and sustainability, solidifying AI's role as the cornerstone of modern industrial transformation and global competitiveness. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209067174
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Paperback. Zustand: new. Paperback. Artificial Intelligence (AI) is transforming industries by automating processes, optimizing production, and enabling data-driven decision-making. Evolving from basic automation to advanced machine learning and deep learning systems, AI is driving the shift toward intelligent, adaptive, and sustainable industrial ecosystems. Through innovations such as smart factories, cyber-physical systems, and digital twins, AI enhances productivity, quality control, and predictive maintenance while reducing downtime and waste. Its applications span manufacturing, logistics, and energy management, improving forecasting, inventory control, and resource efficiency. Despite challenges like high implementation costs, workforce adaptation, and cybersecurity threats, AI continues to shape the future of industrial operations. Emerging technologies such as edge AI, 5G connectivity, and advanced digital twins are expected to further enhance efficiency, resilience, and sustainability, solidifying AI's role as the cornerstone of modern industrial transformation and global competitiveness. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786209067174
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Paperback. Zustand: new. Paperback. Artificial Intelligence (AI) is transforming industries by automating processes, optimizing production, and enabling data-driven decision-making. Evolving from basic automation to advanced machine learning and deep learning systems, AI is driving the shift toward intelligent, adaptive, and sustainable industrial ecosystems. Through innovations such as smart factories, cyber-physical systems, and digital twins, AI enhances productivity, quality control, and predictive maintenance while reducing downtime and waste. Its applications span manufacturing, logistics, and energy management, improving forecasting, inventory control, and resource efficiency. Despite challenges like high implementation costs, workforce adaptation, and cybersecurity threats, AI continues to shape the future of industrial operations. Emerging technologies such as edge AI, 5G connectivity, and advanced digital twins are expected to further enhance efficiency, resilience, and sustainability, solidifying AI's role as the cornerstone of modern industrial transformation and global competitiveness. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209067174
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Taschenbuch. Zustand: Neu. Artificial Intelligence in Industry Machine Learning and Deep Learning | G. Kalaiarasi (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209067174 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134380618
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