Kongunadu College of Engineering and Technology(Autonomous)

  1. Introduction Edge Computing & AI Synergy Edge computing is gaining significant attention, especially with the arrival of 5G technology. The fusion of edge computing and AI (Edge AI) is revolutionizing industries like healthcare, manufacturing, and autonomous vehicles. This article will explore the key developments in Edge AI, how it benefits industries, and the challenges faced in advancing this technology. 2. The Growth of Edge AI Edge Computing and 5G The 2021 State of the Edge report predicts the global market for edge computing infrastructure will exceed $800 billion by 2025. The rise of 5G has further accelerated the interest in edge computing, which, combined with AI, unlocks opportunities for real-time data processing and smarter decision-making. Advancements in AI & Edge Computing Businesses are significantly investing in AI for their digital transformation, and forward-thinking organizations are integrating AI with edge computing to form Edge AI. This combinat...

Introduction:            Cloud Computing and Edge Computing are two concepts in the modern digital world. Both are the growing concepts for storing data on Cloud. In this blog, we first go through the terms Edge Computing and Cloud Computing. Later, we discuss the advantages along with disadvantages of Edge and Cloud Computing in detail. In the end, we go through the fundamental difference between Edge and Cloud Computing. Edge Computing: Edge computing is a way of doing computing and storing data closer to where it's needed, instead of sending it far away. In data center or some central location, data processing occurs closer to the source of the device generating the data. As a result of edge computing, latency and bandwidth requirements can be reduced when there is a requirement to transferring large amount of data to the processing center. Edge computing allows real-time decision-making by processing data close to the edge and accele...