10 Practical & Real-World Examples Of Artificial Intelligence


Technology has advanced so much that Artificial Intelligence or AI is something that we have taken for granted, with almost all industries and products including some form of AI or the other in their products or development process. Although AI is still an evolving topic, there are tremendous applications of AI in today’s world. We shall go through possible ways you can get acquainted with such applications in the form of an artificial intelligence course and earn an AI ML online certificate in the later section. But first, let’s have a quick introduction to AI and the types of AI. Knowing the types of AI will let you better appreciate the real-world applications in existence all around you.

What is Artificial Intelligence?

John McCarthy first coined the term AI in the year 1956. At a fundamental level, you could call a simple chess game an example of the earliest form of Artificial Intelligence (from a functional perspective) where situations are assessed and decisions are taken from a multitude of available options.

Let’s consider a formal definition from Britannica Encyclopedia. It says, “Artificial Intelligence is the ability of a computer system or a computer-controlled robot to perform tasks commonly associated with intelligent beings”.

Let us put that in perspective. There are several machines that you see around you. Each is designed and developed to perform a specific task. If you change the inputs to the machine, one, the machine might not detect and flag the change in input, and two, it can give you unpredictable results. Instead, if you attempt to replace a machine with a human being, the intelligent being is aware of its surroundings and detects changes. In other words, it would be both aware of its surroundings and itself. Artificial Intelligence is very similar to this.

Types of AI and its applications

A simple free course on Introduction to artificial intelligence with certificate should show you how our general idea of AI barely scratches the surface of what it’s really about. There are multiple classifications of AI systems, depending on how you look at them. The most widely used is the 4 type classification. According to this classification, the four types of AI are:

Reactive Machines

These are machines designed to perform basic repetitive operations to achieve a certain task in the least possible amount of time.

Limited Memory

AI machines with limited memory store data to improve predictions. This involves machine learning algorithms employing reinforcement learning, Long, Short-Term Memory tags ,and Evolutionary Generative Adversarial Network techniques on the data stored to make predictions.

Theory of Mind

These AI systems are still in their nascent stages and yet to see any noteworthy applications in the real world. This kind of AI can detect and meaningfully react to human emotions and thoughts.


These machines are the kinds you usually see in sci-fi flicks, with independent intelligence and capable of making their own decisions. The present-day real-world applications are of the limited memory type, and in the sections that follow, we shall look at some of the more popular ones.

Real-world applications of AI in day-to-day life

You might be using one of many AI-powered applications in the real world right now without even knowing it. With all the hype around AI, we tend to forget those subtle applications that impact our daily lives much more than the self-driving mobility picture of AI that we have planted in our minds. For a more accurate idea of how technical facets of AI bleed into daily applications, you can also choose to pursue an artificial intelligence course. Regardless, here is a list of some such applications.

GPS-based navigation

It would help if you used some navigation for either your daily commute or outstation travel. It is an indispensable technology in these days of unexpected hurdles and delays.

Google Maps uses Artificial Intelligence to help people navigate through the maze of routes better. It analyses traffic patterns recorded from anonymously collected data and user-raised alerts to present you with the best route to your destination.

Spam Filters

Relieved that you do not get to see as many spam as you used to before. Well, thank AI for the same. The spam filters that popular email services employ are based on AI. Spam filters today learn from your preferences of what makes up spam. In other words, the spam filter learns from your definition of spam. It is a customized experience rather than just a filter on words.

AI-powered Autopilot

This might come as a surprise but, aside from take-off and landing functions and, in some cases, heavy turbulence scenarios, the aircraft are on AI-powered autopilot.

Face recognition

AI is extensively used on social media to detect faces in the images you upload and suggest friends’ names. Popular cloud-based photo storage apps like Google Photos and social media apps like Facebook use face recognition to identify your friends’ faces and tag them appropriately. This mimics how humans can recognize faces.

AI-powered text editors

Popular tech enterprises like Microsoft are increasingly introducing AI into their applications like MS 365, which offers suggestions on rephrasing or rewriting any piece of text. The AI-powered editor can also suggest improvements like gender inclusivity, brevity, clarity, formality, among others.

AI in Banking

More and more banking and financial institutions are turning to AI to engage with customers more interactively. Chatbots are at the forefront of these initiatives and heavily depend on AI. Financial institutions like banks and insurance companies today take the help of AI to assess their customers’ creditworthiness or insurance-related risks. AI is also used to detect financial frauds very early, helping minimize losses.

AI in Healthcare

AI can quickly learn from imaging data and assist doctors with inaccurate diagnosis. Certain healthcare providers deploy AI-powered technology to analyze thousands of x-ray images and arrive at a reasonably accurate diagnosis. A similar system uses AI for the early detection of lung cancers using x-rays and other imaging.

AI in Gaming

You would think gaming has been using AI for a long time, with many a time the opponent in a game being driven by the code. But true AI involves the use of either supervised learning or unsupervised learning techniques to teach a machine. This is exactly what games like AlphaGO and AlphaGo Zero did.

Autonomous vehicles

One of the most discussed applications of AI is in the future of mobility. It is a reality now that autonomous vehicles can drive around on roads with no instruction from a human. With real-time data from radar, cameras, GPS systems are fed into the AI system.

AI in content automation

Something that writers might be wary of tools like Wordsmith, an AI-powered authoring support tool. It can use given data to generate insightful narratives using its Natural Language generation algorithm.

The way forward with AI

A lot more applications are being tested and are in the offing. You could have your grocery, errands, and bills paid with a quick chat with a chatbot. This chatbot could even be replaced by a home assistant like Alexa from Amazon to carry out all mundane activities for you. AI is here to stay, and investment in learning this technology will keep you in demand for almost your entire lifetime.

How to get trained to be an AI expert practitioner

A comprehensive Artificial Intelligence course lets you learn from your home or office’s comfort while working. Power your career with Artificial Intelligence skills from the best in the AI industry.


Artificial intelligence has become an indispensable part of our lives. Therefore, the opportunities and scope for growth are vast. If you are interested in pursuing an artificial intelligence course, you can earn an AI and ML Online certificate.

Also Read: Lead Generation With Artificial Intelligence

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