Real Life Examples of AI

AI (Artificial Intelligence) is a technology that feels like it came out of a comic book. What we once considered to be the future, is here now. AI as we know it today has footprints that date back to the classic philosophers, who attempted to explain human thinking as a symbolic system. However, the term AI was formally coined in the year 1956, at a conference at Dartmouth College in Hanover, New Hampshire.

In a report by PWC, it is stated that AI-enabled activities could raise the global GDP to 14percent by the end of 2030, which sums up to $15.7 Trillion. This is evidence of the potential that AI software development has today and in the future to come.

Oddly enough, if you Googled for “artificial intelligence” and somehow ended on this article, it would be safe to say that you made use of AI. There are multiple examples of AI (artificial intelligence) present all around us and we use it without knowing it. The most common example would be Siri and Alexa. These are voice-enabled AI that help simplify the use of our smartphones. Then there are those who think that robots are taking over the world, however, even they can’t deny that AI has simplified life and helped us save a lot of time, money, and energy.

What is Artificial Intelligence?

In laymen’s terms, Artificial Intelligence can be described as the ability of the computer to perform tasks that are commonly related to intelligent beings.

Nowadays technology is more accessible and understood among the common people. This has propelled the field of AI software development to new dimensions. This phenomenon has enabled many businesses to implement AI into their business processes with ease. Saving them money time and yielding them a better ROI.

Without any further adieu, let us look at the 8 helpful everyday examples of artificial intelligence.

1. Google Maps

Everyone knows what Google Maps are. If you have not used it yet, let me tell you about it. Earlier GPS (satellite-based navigation) was the guidance technology used for commuting. Nowadays, all you need to do is put the addresses of the location that you want to travel to into the search of Google maps and it can give you directions to that place. All you need is your smartphone. Google maps not only give you the direction to the place but also the optimal route, road barriers, and even traffic congestions. This is all become possible by incorporating AI to give users a much more enhanced experience regarding their surroundings.

Google Maps AI has been taught to identify and comprehend traffic and its patterns. This is how Google maps can find out the best routes. It can direct the driver to take different routes which avoid roadblocks and congestions. The AI-powered algorithm can tell the driver the exact distance and the ETA (estimated time of arrival) which it can calculate based on the traffic conditions. Commuters can also view pictures of the location that they have intended to visit.

2. Face Recognition and Detection

Nowadays, your smartphone’s camera can detect, recognize and unlock your smartphone just by looking at you. You can also use virtual filters on your face while taking selfies and using face identification. These are AI-enabled capabilities that we have been using in our daily lives.

Intelligent machines often match and sometimes go beyond our human capabilities. Take for example babies. They slowly start to recognize facial features like eyes, nose lips, and face shape. But that is not all there is to a face. However, there are several aspects to a human face that makes it unique. AI can is now being taught to identify facial features in the form of coordinates, landmarks (eyes, nose, etc), and alignment (geometric structures). This results in accurate facial recognition capabilities which are notches higher than us humans.

The usage of face recognition is most commonly seen in surveillance and security departments or at airports. For example, face recognition cams are used at the Gatwick Airport, London where they can check a passenger’s face and match it with his ID before allowing them to board the plane.

3. Autocorrect and Text Editors

There are various downloadable auto-correcting tools to help with document creation. These tools can check for spelling errors, readability, grammar, and plagiarism. We as humans take time to learn a language and become fluent at it. Likewise, AI algorithms use deep learning, machine learning, and natural language processing to detect incorrect usage of language and suggest a correction for better content creation.

Scientists and linguists have worked together to teach AI grammar, exactly as we were taught at school. Large amounts of high-quality data are fed into machines in a manner that the machine can understand. As a result, when a user uses even a comma incorrectly, the machine points it out by highlighting it on the document.

4. Search Engine Recommendation Algorithms

When you search for a song that you wanted to listen to or a movie to watch, you must have noticed the suggestion that is prompted is when you search, perfectly aligned to your interests. This is all done through AI.

These recommendation algorithms learn from a user’s behavior and interests based on the user’s activities and offer similar content suggestions. This data is collected at the front end when the user is online, stored as big data, and analyzed through deep learning and machine learning. This enables the AI to then predict by recommendations and keeps the user engaged without having him type and search for anything further.

5. Chatbots

During the pandemic, due to social distancing norms, most customer care representatives were unable to go to the office and take up customer queries. Chatbots proved to be lifesavers for many companies.

Chatbots use algorithms that can be trained to cater to customers. This enables the chatbots to answer FAQs, and take and track orders. Chatbots impersonate the conversational style of the customer care staff through NPL (natural language processing). Chatbots give the customer the impression that they are the human staff but they are just AI.

6. Digital Assistants

There are times when we are required to multi-task, these are the times we resort to digital assistance. Imagine that you are driving through a traffic jam and you might ask your digital assistant to call your mom. Siri is a good example of a digital assistant, as it identifies your voice, access your contact list, find the number listed under the name mom and then call your mom.

Siri is just the tip of the iceberg. The latest digital assistants are well versed in human language and use an advanced version of NLP and ML. These assistants can understand complex command inputs and work according to reach the desired result. They have capabilities that can analyze your habits, preferences, and schedules. This enables them to streamline, plan and organize tasks for you like prompts, reminders, and schedules.

7. Social Media

With the exposure to social media, the world has become small. People now can connect with others all around the world. With this freedom came the threats of cyberbullying, hate speeches, and cybercrime. AI is used by leading social media applications to monitor and control these threats while maintaining the entertainment value for the application.

These AI algorithms can easily detect and take down posts containing hate speeches faster than humans. AI is capable to do this as it is able to identify keywords that relate to hate. Not only keywords but phrases and symbols in different languages too. AI is made to learn these keywords, phrases, and symbols. The neural network architecture of deep learning is an essential part of this whole detection process.

8. e-Payments

Gone are the days when people had to run to the bank for every transaction. AI is been used by banks to simplify the payment process for their customers.

People now deposit cheques right from their homes. AI is also skilled in understanding human handwriting, making online cheque processing achievable.

AI is also used by banks for fraud detection. It can identify a user’s credit card spending patterns, the products that a user buys, when and from where, and which price bracket they fall. So when the AI realizes that there has been some unusual activity in the purchasing pattern, it alerts the user.

Conclusion

Many AI custom software development companies are working towards building better AI solutions to help us refine our processes and get high output. Some people fear that AI will take over the jobs of many people. However, the implementation of AI seems to be beneficial and to a certain extent eliminate the margin for human errors. Only the future will tell us how our lives would be transformed by the use of AI.

This article has been published from the source link without modifications to the text. Only the headline has been changed.

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