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DOMAINS OF ARTIFICIAL INTELLIGENCE
The three domains of AI explain how it carries out complex tasks and what its capabilities are. Let
us discuss each of these and then interpret them together.
DATA
The starting point of every application is data and it is the foundation of artificial intelligence.
Data is all around us, be it a google search, a passport scan or an online shopping history, all of
this contains data that is collected, analysed, and monetised. Data is not just collected but also
properly formatted and aligned with the project requirements.
Examples of AI applications based on data:
Weather prediction models using AI need data such as temperature, humidity and all underlying
patterns that impact weather.
AI is used in the prediction of upcoming customer orders for the next season. This enables retailers
to plan the inventory and purchases which helps them to predict and control the cost.
The software that controls vehicles works with the control radar system, lane control feature,
accident avoidance features, cameras, GPS, etc. All these technologies are AI based and rely
on data to function.
Companies like Google, Facebook and Amazon are ruling the world because they were the first
to build data sets. Amazon already knows what the customers are going to buy and all of this
has been possible because of predictive analytics and tons of customers’ data.
COMPUTER VISION
Computer vision is a subset of AI that helps machines to see and extract meaning from pixels in
an image. It is a field of AI that enables computers to see, identify, and process images to derive
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