Difference Between Internet of Things and Artificial Intelligence
Internet of Things: It is the field of computer technology, where physical devices are communicating over the Internet. Devices are termed as things which are sensors, 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 on a special event.
Artificial Intelligence: It is the field in 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 of building systems.
AI machines learn from past experiences and improve their performance for the future.
Below is a table of differences between Internet of Things and Artificial Intelligence:
| Based on | Internet of Things | Artificial Intelligence |
|---|---|---|
| Connection type | A set of interconnecting devices over a network | The machine is independent and interconnecting is not needed |
| 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. |
| Capability | Device capabilities are known in prior | Machine capabilities can never be predicted |
| Interaction | Human Interaction is needed | Human Interaction is not needed |
| Future Scope | Human instructions are needed | Machines can learn and start to act in a more human way |
| Need of Instructions | Needed to instruct devices | Machines learn from experiences |
| Dependency | IoT won’t work without AI. | AI is not dependent on IoT |
| Cost | Price is substantially lesser. | Price is mostly calculated based on each requirement. |
| 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. |
| 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. |
| Scalability | Scalable being cloud-based. | Less scalable. |
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