Difference Between Internet of Things and Artificial Intelligence



IoT and Artificial Intelligence are the similar consents but internally these are different than each other lets see their differences.

What is Internet of Things?

Internet of things is also abbreviated as IoT, Its a concept where everyday objects like appliances, vehicles, and even clothing basically internally connected devices which are connected to the internet and can communicate with each other, collect data, and share information

What is Artificial Intelligence?

Artificial Intelligence(AI) is the human intelligence which allow machines to think like a human and for problem solving. AI systems are especially designed to solve the problem or perform a particular task which needs human intelligence. In technical terms AI technology includes machine learning deep learning, neural networks, natural language processing and robotics, so these technologies help AI to be more powerful

Difference Between Internet of Things and Artificial Intelligence

Below table highlights the major difference between internet of things (IoT) and artificial intelligence (AI) ?

Basis Internet of Things Artificial Intelligence

Definition

Internet of Things (IoT) is the collection of interconnected devices that change the data internally.

Artificial Intelligence(AI) is ability of machines to think like human behave like a human.

Purpose

To create a system or an environment where interconnected devices communicate and work together on real-time data.

To enable the machine to solve the problem, learn, make decisions based on data.

Functionality

It focuses on communicating interconnected devices whose input is the data from physical world.

It focuses on the processing and analysing the data to make the decisions like human.

Focused technology

Communication between devices, data collection, and real-time monitoring.

Data analysis, machine learning, decision-making, and pattern recognition.

Applications
  1. Smart homes
  2. Industrial automation
  3. Smart cities
  4. Healthcare monitoring
  1. natural language processing
  2. Image recognition
  3. Predictive analytics
  4. Autonomous systems
Example
  1. Smart thermostats
  2. Wearable fitness trackers
  3. Industrial sensors.
  1. Virtual assistants (e.g., Siri, Alexa)
  2. Recommendation systems
  3. Autonomous vehicles.
Updated on: 2024-09-03T10:43:15+05:30

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