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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, which is also 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.

                     Some examples of AI applications based on data are as follows:

                       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 predict and control the cost.

                       The software that controls vehicles works with the control radar system, lane control feature,
                       accident avoidance features, such as 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 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

                     meaningful information from these images, videos, and other visual inputs. Computer vision is
                     important and linked to AI as AI enabled systems must interpret what they see just like humans
                     do and act accordingly.

                     The goal of computer vision is to train machines to see, process, and provide useful results based
                     on their observations within a very short time. This can only be possible if lots of data is provided

                     to it which can be analysed over and over until it detects distinctions and ultimately recognises
                     images. For example, to train a machine to recognise a bowl of fruits with different fruits, it needs
                     to analyse multiple images of different fruits. The AI will learn to differentiate between them based
                     on features like shape, colour, and texture, enabling it to identify each fruit accurately in the

                     future.

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