Best 13 Examples Of Artificial Intelligence In Everyday Life

AI has been growing for the past few decades, and it is actively enabling people and businesses alike to achieve the unthinkable. Giving machines the power to think and evaluate has been one of the most challenging steps forward in the computing world. While Artificial Intelligence is in itself a broader term used for encapsulating a vast variety of sub-domains, Machine Learning is one of them. 

Our intelligence is what makes us human, and AI is an extension of that quality.”

— Yann LeCun

Examples of Artificial Intelligence

If you think that the implementation of Artificial Intelligence and Machine Learning is restricted to a limited number of industries or a niche amount of applications, you are mistaken.

AI and ML have been deployed in a wide range of businesses and solutions, and we encounter them more frequently than you can imagine. In the following section, we will list some of the best examples of Artificial Intelligence in everyday life.

1. Face Recognition

While using your iPhones, Apple launched a radical way of unlocking your iPhone using just your face as a password.

The underlying technology behind Apple’s newest security FaceID uses Neural Engine and Facial Recognition on Apple’s A11 and onwards silicon by generating a 3-dimensional map of the user’s face, capturing and matching the facial map image during the unlocking procedure.

Other phone manufacturers also followed suit and introduced their take on Face Unlock technology using Facial Recognition software. Even Microsoft Windows jumped aboard this trend and introduced Windows Hello which uses similar technology as Apple for unlocking computers.

How Latest iPhones Face ID Works – 

2. Email

With the onset of Artificial Intelligence and its implementation in our everyday use platforms and applications, our style of working. Google and a few other email providers gradually introduced intelligent features, such as smart email categorization, quick replies, eliminating the hassle of unproductive tasks, and simplifying our lives a bit more.

• Smart Email Categorization

By applying Artificial Intelligence techniques to our mailbox, Google gave us a smarter inbox, categorizing all the emails on its own, into folders such as Primary, Social, Promotions, Updates, and more.

Through the use of machine learning algorithms, Gmail successfully filters 99.9% of spam.

• Smart Replies in Gmail 

On the other hand, the Artificial Intelligence used behind smart email composition, and the quick reply feature on Gmail is based on Machine Learning algorithms and Natural Language Processing. Both of these features are just a tap away and are extremely helpful.

3. Entertainment and Social Apps

It’s not just the productivity applications that are getting the smart transformation. Entertainment and social media applications like Netflix and Facebook are also adding new features to their platforms to offer an experience that isn’t just better but also smarter.

• Facebook 

Ever noticed how Facebook suggests new friends to you?

Behind their suggestion system, rests a robust implementation of AI and ML that analyzes your usage patterns and drives features such as identifying friends from photos, and newsfeed personalization. Facebook even introduced a feature that scanned users’ posts to detect if they were planning to cause self-harm to get them the help they might require.

• Netflix 

Whereas, Netflix uses a smart implementation of AI and ML to give you recommendations on what to watch next. By learning from the users’ past viewing activity and utilizing an effective content rating system together that factors hundreds of metrics, the underlying algorithms work their magic on the recommendation system.

• Slack – A Collaborative Tool

Slack is a cloud-based collaboration tool and It has totally transformed the way organizations communicate. According to Slack, a user sends an average of 70 messages per day. To develop this, the group integrated ML to enable faster and more accurate information searches in Slack and to identify which read messages hold more meaning to the consumer.

4. Google Navigation 

Going back a couple of years ago, commuting used to be an extremely unpredictable activity, but now thanks to Google and Artificial Intelligence, everything has changed significantly.

Google Maps, for instance, with the help of Machine Learning, learns about your everyday work commute and alerts you of traffic slowdowns when it’s time to leave. It can also identify delays in transportation systems such as flights, trains, and even buses by factoring in traffic status, weather conditions, and more.

5. Rider Apps

There are endless examples of artificial intelligence in daily life, but when it comes to using apps like Uber and Lyft, were you aware that these apps run on AI? We are so amazed by the ease of use and the utility that we forget to know the specific thing that runs these apps. We never pay attention to questions like-

1. How do these ride-sharing companies set a price for every journey we’re about to take?
2. How do they minimize the time taken by the car to reach your specific location?

The magic behind all this is the work of Artificial Intelligence Engineers. All this is possible because of AI and ML technologies. The sole purpose of these two apps is to revolutionize the world of transportation and to make journeys for passengers as smooth as possible.

6. Self-Driving Cars

AI has been paving the way for more advanced development in the autonomous driving industry. AI provides all the power that is required for self-driving cars to operate. Developers process many complex data using Machine Learning, neural networks, and image recognition technology to develop self-driving cars. Some well-renowned examples of autonomous cars are-

• nuTonomy
• AutoX
• Optimus Ride
• Waymo
• Zoox
• Rethink Robotics
• DataRPM

7. Banking and Finance 

In the banking sector, AI has provided amazing analytical technologies that simply improve the whole ecosystem of payment for the banks and the end consumers. Artificial Intelligence and Machine Learning play a vital role in the banking industry by providing security features as well as convenience to its customers.

• Credit Decision

Credit Score basically refers to a number between 300 – 850; the number signifies the level of creditworthiness. The higher the number, the better the chances for a potential borrower to get a loan from a lender. Generally, a credit score depends on the credit history, levels of debt, history of repayment, and many other factors.

• Fraud Prevention 

Machine Learning can prevent fraud by regularly monitoring your spending habits, taking into account various factors such as intervals between transactions, it’s location, value, and more. The technology can help pinpoint whether the transaction is a legitimate one or a fraud.

• E-Payments

Artificial Intelligence can help safeguard your payments by using facial and speech recognition, allowing only authorized payments to go through. Alerting for various payments such as bills, loans, transfers can also be managed by AI.

•  Mobile Banking

By using Artificial Intelligence in daily life, banks have gone entirely digital. Opening a bank account has never been easier, thanks to the paperless process. They now provide personalized mobile banking experiences to their customers with special offers on their services.

8. Google Predictive Search Algorithms 

Whenever you try to search on Google, you must’ve noticed a few search terms auto-populate the search field. Behind this is Google’s Autocomplete feature that shows predictions as you type your search term character-by-character.

The algorithm for Artificial Intelligence used behind Google’s Predictive Search is called RankBrain, and its task is to fetch the results based on queried data. Google uses a combination of technologies behind its leading search engine, including Neural Networks, Deep Learning, Machine Learning, and Artificial Intelligence.

9. E-commerce

E-commerce has encountered a major overhaul over the past couple of years with the introduction of Artificial Intelligence and Machine Learning. It is considered one of the best examples of AI in everyday life with improvements that increase the quality of the platform as well as the customer experience.

• Search 

Notice how you can type in “Red Bags” and get a list of red-colored bags instantly? It is made possible by the underlying AI algorithms, regularly categorizing product searches for efficient indexing.

• Product Recommendations 

Enhancements to product recommendations use Machine Learning, taking in your usage patterns to suggest products and help you with your searches. These improvements can be found in practically every online marketplace such as Amazon, Flipkart, AliExpress, and many more, as they are highly popular and offer a relatively better shopping experience.

10. AI in Healthcare

The AI industry is considered the highest growth industry, with an estimated $150 billion by 2026. As a result, there are countless opportunities to employ technology for effective, accurate, and timely treatment in a patient’s care. AI undoubtedly offers an endless number of advantages over the traditional clinical process of decision-making. Some of the examples are:-

• Discovering Drugs

In the past few years, data digitalization in the pharmaceutical industry has seen a dramatic surge. It is the technology that can mimic human intelligence. By using these advanced technologies, we can hunt for new pharmaceutical products in a quicker time and at a lower cost. For instance –

• Cancer Diagnosis with AI

Scientists are leveraging AI technology to improve cancer screening in cases of prostate and cervical cancer. In addition, continuous efforts are going on by deploying AI technologies to develop new treatments of cancer. Seeing this example shows that AI applications in the healthcare industry hold a promising future.

• Robot-assisted Surgeries

As the name suggests, Robot-assisted surgeries are surgeries that are conducted with the help of robots. These have come into the picture to overcome the limitation of pre-existing minimally invasive surgical procedures and to assist doctors while performing open surgeries.

11. Speech Recognition

With the combination of Speech Recognition with Natural Language Processing, smartphones began to offer natural communication between computers and humans. When it comes to smartphones, some of the widespread examples of AI in everyday life include chatbots, voice-to-text converters, and digital assistants.

• Voice-to-Text 

Voice-to-text converters convert your speech into text using a Speech Recognition system. Its applications include voice typing, and opening applications, and has now become a standard feature among smartphones and computers.

• Chatbots 

Whereas, Advanced chatbots utilizing Natural Language Processing can effortlessly impersonate a real person and provide a more natural-sounding conversation by even answering complex conversational questions. Businesses use artificial intelligence to develop chatbots for ease of work, for instance, OpenAI has made ChatGPT which delivers human-like responses to queries.

12. Video Games 

AI and ML have been used in video games for a long time to provide a self-improving and challenging experience to gamers. Machine Learning, on the other hand, is often used in video games to generate background music by using Artificial Neural Networks. DOTA 2, a famous MOBA game, uses Deep Learning in the form of OpenAI Five.

13. Smart Personal Assistants

With the improvements in speech recognition systems, we can now have a complete conversation with digital assistants with the technology being close to perfection. Voice assistants are the best AI examples in real life such as Google Assistant, Alexa, or Siri.

Conclusion

With the abundance of real data from users, Machine Learning models can be trained efficiently to perform better, ultimately improving Artificial Intelligence with it. Mentioned above are the few best examples of Artificial Intelligence in life that are omnipresent and simplify the vast majority of our daily lives. This is proof enough that AI is truly changing our lives by making us better and more productive to focus on the real challenges.