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12 examples of everyday artificial intelligence | ITProPortal

In the article below, you can check out twelve examples of AI present in our daily lives.

Artificial intelligence (AI) is growing in popularity, and it’s not hard to see why. AI has the potential to be applied in different ways, from cooking to healthcare.

Although artificial intelligence is a buzzword today, tomorrow it may well become an integral part of our daily lives. In fact – it’s already there.

1. Self-driving cars

woman working on laptop in self-driving car

Self-driving cars will soon become the norm (Image credit: Getty)

They work and continue to progress by using lots of sensor data, learning to manage traffic and making decisions in real time.

Also known as autonomous vehicles, these cars use AI technology and machine learning to move around without the passenger having to take control at all times.

2. Smart Assistants

Let’s start with something truly ubiquitous: intelligent digital assistants. Here we are talking about Siri, Google Assistant, Alexa and Cortana.

We included them in our list because they can essentially listen and then respond to your commands, turning them into actions.

So you call Siri, you give it a command, like “call a friend”, it analyzes what you said, sifts through all the background noise surrounding your speech, interprets your command and actually executes it, all in a few minutes. seconds.

The best part here is that these assistants are getting smarter and smarter, improving every step of the ordering process we mentioned above. You don’t have to be as precise with your commands as you were a few years ago.

Additionally, virtual assistants have become better and better at filtering out unnecessary background noise from your real commands.

3. Microsoft Project InnerEye

brain scan imageeye project

The InnerEye project aims to study the neurological system (Image credit: Microsoft)

One of the most well-known AI initiatives is a project led by Microsoft. It’s no surprise that Microsoft is one of the best AI companies (although it’s certainly not the only one).

Microsoft Project InnerEye is cutting-edge research that has the potential to change the world.

This project aims to study the brain, more specifically its neurological system, in order to better understand how it works. The objective of this project is to eventually be able to use artificial intelligence to diagnose and treat various neurological diseases.

4. Plagiarism

The nightmare of students (or is it that of teachers?). Whether you’re a content manager or a teacher grading essays, you have the same problem: the internet makes it easy to plagiarize.

There is an almost limitless amount of information and data out there, and unscrupulous students and employees will easily take advantage of it.

Indeed, no human could compare and contrast someone’s trial with all the available data. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Moreover, thanks to the progress and growth in this field, some tools can actually verify foreign language sources, as well as images and sound.

5. Recommendations

man using remote control with netflix

Streaming services use AI to show content a user might like (Image credit: Getty)

You may have noticed that media recommendations on some platforms are getting better and better, Netflix, YouTube and Spotify being just three examples. You can thank AIs and machine learning for that.

The three platforms we discussed take into account what you have already seen and liked. This is the easy part. Then they compare and contrast it with thousands, if not tens of thousands of media outlets. They basically learn from the data you provide and then use their own database to deliver the content that best suits your needs.

Let’s simplify this process for YouTube, just as an example.

The Platform uses data like tags, demographic data like your age or gender, and the same data from people consuming other media. Then it mixes and matches, giving you your suggestions.

6. Banking

Today, many major banks offer you the ability to deposit checks via your smartphone. Instead of walking to a bank, you can do it with just a few clicks.

Besides the obvious safeguards when it comes to accessing your bank account through your phone, a check also requires your signature.

Now banks are using AI and machine learning software to read your handwriting, compare it with the signature you gave the bank before, and use it securely to endorse a check.

In general, machine learning and AI technology speed up most of the operations performed by software in a bank. All of this leads to more efficient execution of tasks, reducing wait times and costs.

7. Credit and Fraud

And while we’re talking about banking, let’s talk a bit about fraud. A bank processes a huge amount of transactions every day. To follow all this, to analyze, it is impossible for an ordinary human being.

Moreover, the appearance of fraudulent transactions changes from day to day. With AI and machine learning algorithms, you can analyze thousands of trades in a second. Moreover, you can also make them learn, understand what problematic transactions can look like and prepare for future problems.

Then, every time you apply for a loan or get a credit card, a bank has to verify your application.

Considering several factors, like your credit score, financial history, all of this can now be managed by software. This leads to shorter approval wait times and lower margin for error.

8. Chatbots

Many companies are using AI, especially chatbots, to allow their customers to interact with them.

Chatbots are often used as a customer service option for businesses that don’t have enough staff available at any given time to answer questions or inquires.

By using chatbots, these businesses can free up staff time for other tasks while gaining valuable insights from their customers.

These are a godsend during peak traffic times, such as Black Friday or Cyber ​​Monday. They can save your business from being overwhelmed with questions, allowing you to serve your customers much better.

9. Save yourself from spam

woman browsing her emails on her smartphone

Spam filters are increasingly using AI to filter out unsolicited emails (Image credit: Getty)

Now, that’s something we can all be grateful for – spam filters.

A typical spam filter has a number of rules and algorithms that minimize the amount of spam that can reach you. This not only saves you from annoying ads and Nigerian princes, but it also helps fight credit card fraud, identity theft, and malware.

Now, what makes a good spam filter effective is the AI ​​running it. The AI ​​behind the filter uses email metadata; it keeps an eye on specific words or phrases, it focuses on certain signals, all with the aim of filtering out spam.

10. Video summaries

This everyday aspect of AI has become very popular thanks to Netflix.

Namely – you may have noticed that many thumbnails on websites and some streaming apps have been replaced with short videos. AI and machine learning is one of the main reasons this has become so popular.

Instead of editors spending hundreds of hours shortening, filtering, and trimming longer videos into three-second videos, the AI ​​does it for you. It analyzes hundreds of hours of content and then successfully summarizes it into a short media snippet.

11. Recipes and cooking

men cooking in the kitchen

AI can recommend recipes based on what’s in your fridge (Image credit: Getty)

AI also has potential in more unexpected areas, such as cooking.

A company called Rasa has developed an AI system that analyzes food and then recommends recipes based on what you have in your fridge and pantry. This type of AI is a great way for people who love to cook but don’t want to spend too much time planning their meals in advance.

12. Face Recognition

facial recognition technology

Facial recognition is opposed by some governments due to privacy concerns (Image credit: Getty)

If there’s one thing we can say about AI and machine learning, it’s that they make every technology they come in contact with more efficient and powerful. Facial recognition is no different.

There are now many apps that use AI for their facial recognition needs. For example, Snapchat uses AI technology to apply face filters by recognizing visual information presented as a human face.

Facebook can now identify faces in specific photos and invite people to tag themselves or their friends.

And, of course, remember to unlock your phone with your face. Well, it needs AI and machine learning to work.

Take Apple Face ID as an example. When you install it, it scans your face and puts around thirty thousand dos on it. It uses these points as markers to help it recognize your face from many different angles.

This allows you to unlock your phone with your face in many different situations and lighting environments while preventing someone else from doing the same.

Conclusion

The future is now. AI technology will only continue to develop, grow, and become increasingly vital to every industry and nearly every aspect of our daily lives. If the examples above are to be believed, it is only a matter of time.

Artificial intelligence will continue to develop and be present in new areas of our lives in the future. As new innovative applications come out, we will see more and more ways that AI can make our lives easier and more productive!