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

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!