This Crash Course will explore the fundamentals of edge computing and IoT, covering critical aspects such as device management, machine learning at the edge, real-time data pipelines, and AI integration. Through practical examples together with NVIDIA, we will demonstrate how these technologies can be scaled across industries, offering actionable insights for real-world business challenges. Participants will learn how to leverage edge solutions to enhance operational efficiency, security, and decision-making, while gaining the tools necessary to implement and manage edge-based systems at scale.
Edge computing has a transformative impact on businesses through its ability to process data closer to the source of generation, allowing several strategic benefits:
- By processing data locally, edge computing minimises latency, leading to faster response times.
- Reduces bandwidth costs by minimising the amount of data transmitted to centralised clouds for processing
- Decentralised processing ensures that edge devices can operate independently, even during network outages.
- Edge computing supports the rapid scaling of IoT networks and AI-driven applications by reducing the dependency on central systems
- Keeps sensitive data closer to the source, limiting exposure during transmission and aiding in compliance with data sovereignty regulations
- Unlocks opportunities for innovation in services and applications that require near-instant processing
- Facilitates immediate insights and actions based on local data analysis
- Modernising devices i.e. turning non-smart devices into intelligent ones
