Edge Vs Cloud Computing

#sitmi Cloud Computing – What Students Will Learn In this session, students will learn what cloud computing is and how data, applications, and computing power are centrally hosted on remote servers over the internet. You will understand how cloud platforms support large-scale data storage, advanced analytics, AI, and enterprise applications used in supply chain planning, demand forecasting, S&OP, and IBP. Real-world business examples will explain why cloud is ideal for long-term planning, collaboration, and enterprise-wide visibility. Edge Computing – What Students Will Learn Students will learn what edge computing is and how data is processed closer to the source, such as sensors, machines, or IoT devices, instead of sending everything to the cloud. This session explains how edge computing enables real-time decision-making, faster response times, and reduced latency in operations like manufacturing, warehousing, transportation, and inventory tracking. Practical examples will show how edge computing supports execution-level supply chain activities. Major Differences Between Cloud and Edge Computing – Key Takeaways Students will clearly understand the core difference between cloud and edge computing in terms of location of data processing, speed, cost, and use cases. The session highlights why cloud computing is best for strategic planning, forecasting, S&OP, IBP, and historical analysis, while edge computing is critical for real-time operations and execution. By the end, learners will know how modern supply chains use both cloud and edge together to build responsive, data-driven, and resilient business planning systems.