Now that we know what AI is and what its applications are, let us see how it is used in the real world.

AI is a diverse term. It is something that is used in a tremendous number of ways. From healthcare to finance, you name the industry and AI is there in one way or the other. The use of AI on such a large scale calls for us to divide its applications into some specific types.

AI is mainly used in 3 forms, namely:

• Data Science
• Computer Vision
• Natural Language Processing

We'll call these the 'Domains of AI'.

Let us dive deep and see what these domains of AI exactly are, and what all applications of AI come under them.

Domains of AI

Data Science

As the name suggests, this domain of AI mainly deals with collecting, maintaining, and learning from data, and then making predictions using it.

Some of the examples include:

• App Recommendations according to your taste

  You might have seen applications like Google Play Store & Apple App Store giving you recommendations of apps that you should download on your smartphone. The process of learning and predicting what apps you might like is one example of data science.

• Weather Forecasting

  The whole process of studying the past weather data and forecasting the weather in the future comes under the domain of Data Science.

  

• Search Recommendations given by different Search Engines (Google, Bing, Yahoo!)

  Different search engines like Google, Microsoft Bing, Safari & Yahoo! use your past data and other users' search terms to predict what you might want to search for on the internet. You might have seen that when you start typing something on Google, a list of recommended searches starts appearing simultaneously.

  

Computer Vision (CV)

This domain of AI mainly deals with understanding and deriving meaningful information from visual data such as images and videos. The information derived from this visual data can be used to perform many different tasks.

Some of the examples include:

• Used in Self Driving Cars

  The process of identifying objects like other cars, road signs, and pedestrians around the car and taking decisions accordingly is one of the examples that come under the domain of computer vision.