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Difference Between Internet of Things and Artificial Intelligence

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  • Difficulty Level : Medium
  • Last Updated : 30 Sep, 2022
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Internet of Things: It is the field of computer technology, where physical devices are communicating over the Internet. Devices are termed as things that are sensors, and actuators that communicate and send information to each other on the web. It is an ecosystem where the interacting devices share data through a communication media known as the internet. 
These devices are instructed with code to operate during a special event. 

Artificial Intelligence: It is the field of computer technology that uses data as fuel and human actions to decide the output. Machines that are AI capable and are capable of cognitive thinking that is responsible to decide on the past or responding to an action to which the machine was unaware. These systems are built to support automation in the traditional approaches to building systems. 
AI machines learn from past experiences and improve their performance for the future. 

 

Internet-of-Things-and-Artificial-Intelligence

Below is a table of differences between the Internet of Things and Artificial Intelligence: 
 

S. No. Based on Internet of Things Artificial Intelligence
1. Connection type A set of interconnecting devices over a network  The machine is independent and interconnecting is not needed
2. Cloud Computing Both are complimentary in efficiency while Cloud gives a pathway to manage data. Highly Strong – As it facilitates the machine to think, enact and learn from the human instances created.
3. Capability Device capabilities are known in prior Machine capabilities can never be predicted
4. Interaction Human Interaction is needed Human Interaction is not needed
5. Future Scope Human instructions are needed Machines can learn and start to act in a more human way
6. Need of Instructions Needed to instruct devices Machines learn from experiences
7. Learning from data In the Internet of Things, various sensors are present around us, and each of them has a few facts running through it, and the identifying information is transmitted on the internet. In artificial intelligence, the system learns from errors or background activity and attempts to grow itself to perform better. 
8. Dependency IoT won’t work without AI. AI is not dependent on IoT
9. Cost Price is substantially lesser. Price is mostly calculated based on each requirement.
10. Applications Applications include Smart Wearables, Smart City, Smart Home, Water Monitoring, etc. Applications include Chatbots, Job Adverts, Natural language processing, Speech recognition, Machine vision, etc.
11. Object IoT is mostly concerned about the objects which are embedded with the technology that can capture sensory movements. AI doesn’t specifically require objects.
12. Scalability Scalable being cloud-based. Less scalable.
13. Advantages
  • Cost-effectiveness 
  • Portable software
  • Allows you to stay connected.
  • Energy use is efficient
  • Extremely adaptable.
  • Very useful in the health care sector
  • It manages the collaboration of humans and machines.
  • It keeps data in a logical order.
  • An excellent substitute for repetitious activities
  • Aids in the resolution of difficult problems.
  • It is useful for completing repeated activities.
  • Provide precise results
  • Low errors
14. Disadvantages
  • Increase worker drowsiness due to single-click work.
  • Unemployment rises.
  • Because we rely on computers and technology, less activity of human brains is there.
  • AI is costly.
  • High reliance on machines
  • Humans are more inventive than artificial intelligence.
  • Storage is expensive.
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