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In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability.

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With a strategic focus on AI's applications across manufacturing phases and sub-sectors, coupled with in-depth discussions on emerging technologies like machine learning, deep learning, and natural language processing, this book equips readers with the knowledge and tools to confidently navigate the evolving landscape of Industry 4.0. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

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Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Through meticulous research, real-world case studies, and expert insights, readers will embark on a transformative journey, unraveling the intricacies of predictive maintenance, demand forecasting, quality assurance, and beyond.

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