Edge Computing for AI and IoT: Building Real-Time Data Driven
The convergence of Edge Computing, Artificial Intelligence (AI), and the Internet of Things (IoT) is revolutionizing digital ecosystems by enabling real time processing, intelligent decision making, and operational efficiency. Edge Computing minimizes latency by processing data near its source, while AI enhances IoT with predictive analytics and automation. Edge AIoT is reshaping industries by delivering low-latency intelligence, enabling seamless automation, and optimizing decision-making processes. As Edge AI continues to evolve, its ability to integrate with next-generation technologies will drive innovation, creating smarter, more responsive, and more efficient systems. By addressing scalability, security, and interoperability challenges, Edge AIoT has the potential to revolutionize the digital world, making real-time, data-driven intelligence an integral part of everyday life. This book explores AIoT architectures, middleware, communication protocols, and data management strategies for seamless edge intelligence.
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Edge Computing for AI and IoT: Building Real-Time Data Driven
The convergence of Edge Computing, Artificial Intelligence (AI), and the Internet of Things (IoT) is revolutionizing digital ecosystems by enabling real time processing, intelligent decision making, and operational efficiency. Edge Computing minimizes latency by processing data near its source, while AI enhances IoT with predictive analytics and automation. Edge AIoT is reshaping industries by delivering low-latency intelligence, enabling seamless automation, and optimizing decision-making processes. As Edge AI continues to evolve, its ability to integrate with next-generation technologies will drive innovation, creating smarter, more responsive, and more efficient systems. By addressing scalability, security, and interoperability challenges, Edge AIoT has the potential to revolutionize the digital world, making real-time, data-driven intelligence an integral part of everyday life. This book explores AIoT architectures, middleware, communication protocols, and data management strategies for seamless edge intelligence.
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Edge Computing for AI and IoT: Building Real-Time Data Driven

Edge Computing for AI and IoT: Building Real-Time Data Driven

Edge Computing for AI and IoT: Building Real-Time Data Driven

Edge Computing for AI and IoT: Building Real-Time Data Driven

Overview

The convergence of Edge Computing, Artificial Intelligence (AI), and the Internet of Things (IoT) is revolutionizing digital ecosystems by enabling real time processing, intelligent decision making, and operational efficiency. Edge Computing minimizes latency by processing data near its source, while AI enhances IoT with predictive analytics and automation. Edge AIoT is reshaping industries by delivering low-latency intelligence, enabling seamless automation, and optimizing decision-making processes. As Edge AI continues to evolve, its ability to integrate with next-generation technologies will drive innovation, creating smarter, more responsive, and more efficient systems. By addressing scalability, security, and interoperability challenges, Edge AIoT has the potential to revolutionize the digital world, making real-time, data-driven intelligence an integral part of everyday life. This book explores AIoT architectures, middleware, communication protocols, and data management strategies for seamless edge intelligence.

Product Details

ISBN-13: 9786208441265
Publisher: LAP Lambert Academic Publishing
Publication date: 06/20/2025
Pages: 92
Product dimensions: 6.00(w) x 9.00(h) x 0.22(d)
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