This document summarizes a seminar presentation on the Internet of Things (IoT). It defines IoT as a system of interconnected computing devices, objects, and people that can collect and transfer data over a network without human interaction. It then describes how IoT works by using sensors to collect data, sharing it via the cloud and software to process it for users. Some key applications of IoT discussed are smart cities, agriculture, automation, and smart homes. Challenges of IoT include security issues, lack of regulations, and device compatibility. The future of IoT is predicted to include growth in new uses and more connected devices enabling digital transformation.
2. What is IoT?
How IoT works?
Key Components
Few Applications of IoT
Benefits of IoT
IoT and Artificial Intelligence
Challenges & Concerns
Future Trends of IoT
Conclusion
References
3. INTRODUCTION
WHAT IS IOT?
• The Internet of Things (IoT) is a system of
interrelated computing devices, mechanical and
digital machines, objects, animals or people that
are provided with unique identifiers (UIDs) and
the ability to transfer data over a network
without requiring human-to-human or human-to-
computer interaction.
• IoT has evolved from the convergence of
wireless technologies, micro-electromechanical
systems (MEMS), microservices and the
internet.
4. WORKING
HOW IOT WORKS?
I. Devices have hardware, like sensors, that collect data.
II. The data collected by the sensors is then shared via the cloud and integrated with software.
III. The software then processes the data before sending it to the users via an app or website.
6. FEW APPLICATIONS OF IOT
• Agriculture
• Smart City
• Automation
• Hospitality and Tourism
• Smart home
• Supply chain management and many more…
7. BENEFITS OF IOT
Improved productivity of staff and reduced human labor
Efficient operation management
Better use of resources and assets
Cost-effective operation
Improved work safety
Thorough marketing and business development
8. IOT & ARTIFICIAL INTELLIGENCE
• IoT devices generate a lot of data that can be used to
train AI models.
• AI can be used to analyze the data generated by IoT
devices and provide insights that can help improve
business processes.
• AI can also be used to automate decision-making
processes based on the data generated by IoT devices.
9. CHALLENGES & CONCERN
• IoT Security: By its nature, IoT opens up networks to the possibility of hacking.
• Lack of effective and informed government regulations: IoT is a fast-developing area of technology.
• Device compatibility.
• Bandwidth strain.
• End-user challenges.
• IoT device management.
10. FUTURE TRENDS OF IOT
• IoT will move into new use cases, applications and adoption
scenarios as it converges with other streams of innovation.
• The number of IoT devices connecting the world is increasing
rapidly and the IoT space is widening its boundaries.
• IoT has been one of the basic building blocks in the shift from
digitization to digital optimization and digital transformation.
• In few years we will see an ever-growing number of devices
become smart and connected.
11. CONCLUSION
IoT is a rapidly growing technology that is changing the way we interact with devices. It has the potential to
revolutionize the way we live and work, but it also comes with its own set of challenges and concerns. As IoT
continues to evolve, it will be important to address these challenges and work towards a more secure and
connected future.
12. REFERENCES
• IEEE Internet of Things Journal
• IoT For All [IoT For All Blog | IoT Resources and Articles]
• International Journal of Internet of Things and Cyber-Assurance
• IoT World Today [IoT World Today]