Artificial Intelligence-Enabled Edge Computing: Necessity of Next Generation Future Computing System

Today Edge computing is witnessing an essential interest in new use cases, especially after the introduction of 4G and 5G. Today’s many applications/sectors are also heavily investing in emerging technologies like cloud computing, artificial intelligence (AI), etc., to increase the productivity and profit for their businesses. Many companies and industries are incorporating technology investments as part of their digital transformation journey. Forward-thinking organizations and cloud companies are recognizing new opportunities by integrating edge computing and AI, forming what is known as Edge AI. This approach enables quicker computing and information processing, enhances data security, and provides efficient control over continuous operations. Consequently, Edge AI can optimize the performance of AI-enabled applications while keeping operating costs at a minimum. Additionally, it aids AI in overcoming technological challenges. Looking ahead, AI-enabled edge computing systems in industries have the potential to automate manufacturing and operational processes, contributing to increased profitability and delivering high-quality products to end consumers. To summarize, Edge AI supports machine learning, the autonomous application of deep learning models, and advanced algorithms directly on Internet of Things (IoT) devices, independent of cloud services. This chapter will discuss the essential topics and the importance of Edge AI in the near future.