🤖 Edge AI vs. Cloud AI: Where is the Future Headed? 🚀 Introduction As Artificial Intelligence (AI) continues to evolve, two dominant paradigms have emerged: Edge AI and Cloud AI . Each has distinct advantages and use cases, but which one will shape the future? In this blog, we explore the key differences, benefits, and real-world applications of Edge AI and Cloud AI. 🔍 🌐 What is Cloud AI? Cloud AI refers to AI models and processing tasks that run on remote cloud servers. It relies on high-powered data centers to handle complex computations, making it ideal for large-scale applications. 🛠️ Key Features of Cloud AI: ☁️ Scalability – Can handle vast amounts of data. 💾 High Storage – Stores and processes extensive datasets. 🔧 Centralized Processing – Requires an internet connection for computations. 🛠️ Advanced AI Models – Supports deep learning and big data analytics. Example: Google Assistant and Amazon Alexa use Cloud AI to process voice commands and deliver responses...