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1. Introduction Artificial intelligence (AI) is revolutionizing manufacturing through data analysis, efficiency improvements, innovation, quality control, and human-machine collaboration. AI optimizes processes, predicts maintenance issues, customizes products, and enhances productivity.  The integration of AI in manufacturing leads to smart factories where machines communicate, adapt, and innovate in real-time. AI-driven quality assurance techniques detect defects early, reducing waste and ensuring consistent product quality.  Collaborative robots work alongside humans, enhancing safety and efficiency. Embracing AI in manufacturing unlocks efficiency, competitiveness, and innovation, requiring strategic investments and continuous learning for success in the evolving landscape. AI and human ingenuity together shape the future…

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Introduction to Industrial IoT (IIoT) Devices The Industrial Internet of Things (IIoT) has transformed industries with connectivity, automation, and data-driven decision-making. IIoT devices in Industry 4.0 integrate technologies like IoT,…

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I. Connected Devices in Agriculture Connected devices in agriculture, also known as AgTech or precision agriculture, are transforming farming through data-driven decision-making and automation. These devices, including smart sensors, drones,…

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VI. Data Analytics for Retail Operations Data analytics in retail enhances decision-making, customer experiences, and operational efficiency. Retailers leverage consumer insights to personalize offerings, optimize inventory, and improve customer experiences. …

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Before looking at both of them — first, we need to understand why the emergence of these two technologies was needed for…

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We live in a world where people have no time for automated messages, calls, or even automated marketing for that…

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