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Edge computing

1. Edge Computing: The Next Big Thing A Presentation by Riddhi

2. Introduction to Edge Computing • Processes data closer to the source instead of a centralized cloud. • Reduces latency, improves speed, and enhances security. • Ideal for IoT, AI, and real-time applications.

3. How Edge Computing Works • Traditional cloud computing sends data to distant data centers. • Edge computing processes data locally at or near the data source. • Reduces time delays and ensures faster decision-making.

4. Real-Life Examples of Edge Computing 1. Smart Home Devices – Faster responses in Alexa, Google Nest. 2. Autonomous Vehicles – Real-time driving decisions in Tesla. 3. Healthcare – Smartwatches monitor heart rates instantly.

5. Pros & Cons of Edge Computing Advantages: ✔ Faster processing ✔ Less bandwidth usage ✔ Works with limited internet ✔ Improved security Disadvantages: ✘ Higher hardware costs ✘ Complex infrastructure ✘ Data synchronization challenges

6. Edge Computing in Industries • IoT – Smart sensors in factories. • 5G Networks – Faster communication. • Smart Cities – Real-time traffic and security monitoring.

7. Future of Edge Computing • Rise of 5G and AI-driven edge computing. • More industries will adopt real-time processing. • Expected to revolutionize data-driven decision-making.

8. Conclusion • Edge Computing is transforming the way data is processed. • Faster, more efficient, and secure compared to cloud computing. • Future technologies will rely heavily on edge computing. Thank you!