Good,.,...............mmmmm............................

1. Future Trends : " Edge
Computing"
Presented by:-Palak Verma
[Gu-2023-1283]

2. Introduction- Title: "Future Trends in Edge
Computing"-
• Edge computing is a distributed computing paradigm that brings
computation closer to the source of data.
• Edge computing reduces latency and improves real-time decision-
making.
• Edge computing is used in various industries, such as manufacturing,
healthcare, and finance.
• The global edge computing market is expected to reach $15.4 billion by
2025.
• Edge computing is a key technology for enabling IoT, AI, and 5G
networks.

3. Current State of Edge Computing
• Edge computing is used in various industries, such as
manufacturing, healthcare, and finance.
• Edge computing reduces latency and improves real-time decision-
making.
• Edge computing is used for IoT device management, data
analytics, and AI model training.
• The current edge computing market is dominated by cloud
providers, such as AWS and Microsoft Azure.
• Edge computing is still a relatively new technology, and there are
many challenges to be addressed.

4. Future Trends in Edge Computing
• Increased use of AI and machine learning at the edge.
• Integration with 5G networks for faster data transfer.
• Growing importance of edge computing in IoT device
management.
• Increased focus on security and data protection at the edge.
• Edge computing will become more decentralized and
autonomous.

5. Edge AI and Machine Learning
• Edge AI reduces latency and improves real-time decision-
making.
• Edge AI enables predictive maintenance and quality control.
• Edge AI improves security and surveillance systems.
• Edge AI is used in various industries, such as manufacturing,
healthcare, and finance.
• Edge AI requires specialized hardware and software.

6. Edge Computing and 5G Networks
• 5G networks enable faster data transfer and lower latency.
• Edge computing reduces latency and improves real-time
decision-making.
• Edge computing and 5G networks enable new use cases, such
as smart cities and autonomous vehicles.
• Edge computing and 5G networks require specialized
hardware and software.
• Edge computing and 5G networks will enable new business
models and revenue streams.

7. Edge Computing Security
• Edge computing security is critical for protecting sensitive data.
• Edge computing security must address threats from IoT devices
and other sources.
• Edge computing security solutions must be scalable and flexible.
• Edge computing security requires specialized hardware and
software.
• Edge computing security is a growing concern, and new
solutions are emerging.

8. Real-World Examples of Edge Computing
• Manufacturing: predictive maintenance and quality control.
• Healthcare: real-time patient monitoring and analytics.
• Finance: real-time transaction processing and security.
• Retail: personalized customer experiences and inventory
management.
• Transportation: autonomous vehicles and smart traffic
management.

9. Conclusion
"Edge computing is a rapidly evolving field with
many opportunities for innovation and growth.
Stay ahead of the curve by staying informed about
the latest trends and developments in edge
computing."

10. Thank You