10 Best Examples of Artificial Intelligence in Everyday Life (2023)

10 Best Examples of Artificial Intelligence in Everyday Life (1)

AI has been growing for the past few decades, and it is actively enabling people and businesses alike to achieve the unthinkable. By giving machines the power to think and evaluate has been one of the most challenging steps forward in the computing world. Because of this adoption of Artificial Intelligence & Machine Learning, businesses have eliminated most of their repetitive tasks and focus on solving unique and critical problems. While Artificial Intelligence is in itself a broader term used for encapsulating a vast variety of sub-domains, Machine Learning is one of them. Throughout this article, we will discuss some of the best examples of Artificial Intelligence in everyday life.

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

— Yann LeCun

Best Examples of Artificial Intelligence in Daily Life

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. Open Your Phone With Face ID

With the launch of the iPhone X, 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.

It even works when users are wearing accessories such as glasses, scarfs, makeup, and facial hair.

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 that uses similar technology as Apple for unlocking computers.

How iPhone X Face ID Works –

2. Email

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

  • Smart Email Categorization

By applying Artificial Intelligence techniques on 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.

10 Best Examples of Artificial Intelligence in Everyday Life (2)

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.

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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 onto their platforms to offer an experience that isn’t just better but also smarter.

(Video) 10 AI Examples In Real Life: How Artificial Intelligence Impacts Everyday Life

  • 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, newsfeed personalization.

Facebook even introduced a feature that scanned user’s posts to detect if they are 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 its magic on the recommendation system.

  • Slack – A Collaborative Tool

Slack is a cloud-based collaboration tool and It has totally transfigured the way organizations communicate.

In Layman’s terms, it is a messaging app for businesses whose purpose is to connect people to the information they need.

In comparison to all its competitors, Slack has more advanced bots, integrations, and usability. As a result, you can interact with your team, share files with your colleagues in a more friendly and flexible way.

According to Slack, a user sends an average of 70 messages per day. Now, the question is how to differentiate which ones are a must-read and which ones can be skipped.

The answer to this question is Artificial Intelligence.

In 2016, the startup employed Noah Weiss developed a more effective and useful platform. To develop this, the group integrated ML to enable faster and accurate information searches in Slack and to identify which read messages hold more meaning to the consumer.

In addition, the company continues to employ emerging updates in NLP and ML to make their app more friendly and easy to use for the consumers.

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.

The connected nature of navigation elements such as traffic, vehicles, transportation systems makes it so much easier to identify slowdowns and replan commuting.

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.

10 Best Examples of Artificial Intelligence in Everyday Life (4)

Photo by Ingo Joseph from Pexels

5. Ridesharing Apps Like Uber and Lyft

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-

(Video) 10 Best Examples of Artificial Intelligence (AI) | Power of Artificial Intelligence in Real Life

  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 Artificial Intelligence. All this is possible because of AI and ML.

These prominent companies utilize GPS navigation which in turn runs on AI and ML.

With the various advanced algorithms, it is possible to determine the situations of traffic and arrival time. By analyzing huge chunks of data in just minimal time, these apps can determine the shortest route possible for the ride.

Keeping in mind user preferences, Uber and Lyft provide a list of previously searched destinations for quick booking; this is one amazing feature.

Jeff Schneider, the Engineering Lead for Uber, disclosed in an interview how the company indulges ML to forecast the rider demand to ensure that “surge pricig” will soon no longer exist and the head of Machine Learning Danny Lange confirmed the use of ML by Uber for rides, delivery time for meals on UberEATS, optimal pickup locations, etc.

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. Smart Cars/Self Driving Cars

Among the various artificial intelligence examples in daily life, one is Autonomous Vehicles. Autonomous vehicles have always been in the limelight; recently, Elon Musk’s TESLA dominates tech talks.

Autonomous Vehicles (AV) are well equipped with multiple sensors that help them better understand their surroundings.

These sensors generate a huge amount of data that needs to be processed to make sense of the complicated data. Companies involved in manufacturing these sensors depend heavily upon AI and its algorithms to process huge amounts of data and validate the driving systems.

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.

The neural networks are supposed to identify the patterns in data and transfer them to ML algorithms. The transferred data includes images from cameras on self-driving analyzing which the neural networks are able to trace out traffic lights, pedestrians, etc., of the current environment.

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.

In sort, 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

There are countless examples of artificial intelligence in financial services but this one is a major one.

When AI and Ml first came into the picture, financial services were reluctant to employ these technologies in their operations, but considering the benefits, these two technologies add to the business models, even banks got ready to incorporate AI and ML in their functioning.

Now, artificial intelligence is widely used in the development of banking apps. The benefits that it offers are endless;

  1. Fast and correct assessment of borrowers at lower costs.
  2. Automated routine processes.
  3. Dip in the costs to solve standard tasks.
  4. Efficient and effective processing of huge amounts of data.
  5. Improved client support system.

Among all the benefits that AI offers, AI-based credit scoring is probably the best one.

Credit Score basically refers to a number between 300 – 850; the number signifies the level of creditworthiness. The higher the number, the better are the chances for a potential borrower to get a loan from a lender.

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Generally, a credit score depends on the credit history, levels of debt, history of repayment, and many other factors.

But the AI credit scoring is dependent on a variety of data; work experience, total income, transaction analysis, etc. This scoring is done by a mathematical model that is how AI has been employed more and more in financial industries as it provides real-time factors, giving people with more income the potential to access finance.

  • 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.

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Photo by Roberto Cortese on Unsplash


  • 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. With each search, it improves the search results, bringing in more relevant results to the user.

Google uses a combination of technologies behind its leading search engine, including Neural Networks, Deep Learning, Machine Learning, and Artificial Intelligence. With how efficient Google’s search algorithms are, it would be difficult to imagine a world without it.

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9. Ecommerce

eCommerce 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.

10 Best Examples of Artificial Intelligence in Everyday Life (7)

  • 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 relatively better shopping experience.

10. AI in Healthcare

The uses of AI in healthcare are immense. It’s obvious AI can simplify the lives of patients and doctors by doing tasks that humans do but with minimal cost and time usage.

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. The ever-evolving algorithms help to gain deeper insights into diagnostics, treatment strategies, etc.

Some of the examples of artificial intelligence in healthcare where AI has assisted phenomenally are:-

  • Discovering Drugs

In the past few years, data digitalization in the pharmaceutical industry has seen a dramatic surge. This digitalization generates huge leaps of data that need to be processed to make sense out of them; here, AI comes into play.

(Video) Artificial Intelligence Examples In Everyday Life

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. Just for instance –

  1. Pfizer is deploying IBM Watson (a system that incorporates ML to run its quest for immune-oncology drugs).
  2. Sanofi has sealed a deal to utilize UK startup Exscientia’s artificial intelligence platform to search for metabolic-disease therapies.
  3. Roche subsidiary Genentech uses an Artificial Intelligence system from GNS Healthcare to help the company search for cancer treatments.
  • Cancer Diagnosis with AI

Cancer, a chronic disease, has haunted scientists for so long and is still doing the same. However, the integration of AI in cancer care has assured doctors improved diagnostics and speedy clinical aid decision-making, ultimately leading to better health results.

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 health care industry hold a promising future.

  • Robot-assisted Surgeries

As the name suggests, Robot-assisted surgeries are the 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.

These robots have helped doctors immensely to carry out operations with greater precision and accuracy.

The force behind these amazing working robots is AI. To this date, robots are still being deployed to perform surgeries because of their amazing cooperative technology.

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, 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.

Read this too –

https://blog.digitalogy.co/artificial-intelligence-technologies/

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. Regarded as one of the best examples of Artificial Intelligence in everyday life, these can be easily experienced by players in the form of:

  1. AI-controlled Non-Playable Characters (NPCs) that react dynamically to player actions
  2. Procedural Content Generation for generating automated newer game environment when combined with Machine Learning
  3. Player-experience modeling for dynamically balancing gameplay difficulty based on player skills

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.

10 Best Examples of Artificial Intelligence in Everyday Life (8)

Photo by Sean Do on Unsplash

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.

They take your question via voice, and process it using the Speech Recognition and Natural Language Processing systems on your phone and output the results via speech or text.

The Artificial Intelligence used behind these smart digital assistants enables them to manage our digital lives as their role becomes ever critical. They assist with a variety of tasks varying from simpler ones to complex ones. Some of the activities they most commonly help manage are listed below

  1. Online shopping
  2. Controlling lights and other internet-enabled equipment
  3. Setting reminders and alarms
  4. Booking cabs, flights and trains
  5. Playing music and videos and many more

10 Best Examples of Artificial Intelligence in Everyday Life (9)

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Photo by John Tekeridis from Pexels

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 everyday 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.

FAQs

What is artificial intelligent with examples? ›

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

What is the most used artificial intelligence? ›

Apart from personal usage, facial recognition is a widely used Artificial Intelligence application even in high security-related areas in several industries.

How can AI be used for good with examples? ›

Artificial intelligence, powered by deep-learning algorithms, is already in use in healthcare. Specifically, AI's imaging capabilities are promising for cancer identification and screening, including breast cancer. Artificial intelligence is also used to predict the development of diseases across a healthcare network.

Is Siri an example of artificial intelligence? ›

Siri is Apple's personal assistant for iOS, macOS, tvOS and watchOS devices that uses voice recognition and is powered by artificial intelligence (AI).

How AI is used in daily life? ›

Voice assistants, image recognition for face unlock in cellphones, and ML-based financial fraud detection are examples of AI software currently being used in everyday life. Typically, just downloading AI software from an online store and having no other devices is required.

How is AI used today? ›

Prominent examples of AI software used in everyday life include voice assistants, image recognition for face unlock in mobile phones, and ML-based financial fraud detection. AI software usually involves just downloading software with AI capabilities from an online store and requires no peripheral devices.

How is AI used in education? ›

AI enhances the personalization of student learning programs and courses, promotes tutoring by helping students improve their weak spots and sharpen their skills, ensures quick responses between teachers and students, and enhances universal 24/7 learning access.

What are examples of artificial intelligence in education? ›

Examples of how artificial intelligence is currently being used in higher education include:
  • Plagiarism Detection.
  • Exam Integrity.
  • Chatbots for Enrollment and Retention.
  • Learning Management Systems.
  • Transcription of Faculty Lectures.
  • Enhanced Online Discussion Boards.
  • Analyzing Student Success Metrics.
  • Academic Research.

Who is the father of AI? ›

Abstract: If John McCarthy, the father of AI, were to coin a new phrase for "artificial intelligence" today, he would probably use "computational intelligence." McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.

Is Alexa an artificial intelligence? ›

With conversational AI, voice-enabled devices like Amazon Echo are enabling the sort of magical interactions we've dreamed of for decades. Through a voice user interface (VUI), voice services like Alexa can communicate with people in ways that feel effortless, solve problems, and get smarter over time.

Is Google is AI? ›

Google Search is a form of narrow AI, as is predictive analytics, or virtual assistants. Artificial general intelligence (AGI) would be the ability for a machine to “sense, think, and act” just like a human.

Which country started artificial intelligence? ›

The field of AI research was founded at a workshop held on the campus of Dartmouth College, USA during the summer of 1956.

How is artificial intelligence helping us today 10 points? ›

Smart Decision Making

Artificial Intelligence has always been used for making smarter business decisions. AI technology can coordinate data delivery, analyze trends, develop data consistency, provide forecasts, and quantify uncertainties to make the best decisions for the company.

How is AI used in healthcare? ›

AI in healthcare can be used for a variety of applications, including claims processing, clinical documentation, revenue cycle management and medical records management.

What are some areas where AI could impact our daily lives in the future? ›

The Future of AI: 5 Industries That Will Be Most Affected
  • 1) Information technology (IT) IT relates to anything involving computer technology,2 while AI is “the ability of a computer to act like a human being.”3 The two have a symbiotic relationship, together driving innovation. ...
  • 2) Finance. ...
  • 3) Marketing. ...
  • 4) Healthcare.
9 Mar 2022

What is artificial intelligence and machine learning examples? ›

The main applications of AI are Siri, customer support using catboats, Expert System, Online game playing, intelligent humanoid robot, etc. The main applications of machine learning are Online recommender system, Google search algorithms, Facebook auto friend tagging suggestions, etc.

What AI can do in future? ›

With artificial intelligence automating all kinds of work, we can think of a more comfortable future for ourselves that will create new jobs and not displace them. According to a report on the Future of Jobs by World Economic Forum, AI will create 58 million new artificial intelligence jobs by 2022.

What is artificial intelligence explain? ›

Artificial Intelligence (AI) Explained

In the simplest terms, AI which stands for artificial intelligence refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. AI manifests in a number of forms.

What is artificial intelligence easy definition? ›

What is artificial intelligence? Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.

What are the 4 types of AI? ›

According to the current system of classification, there are four primary AI types: reactive, limited memory, theory of mind, and self-aware.

What are examples of artificial intelligence in education? ›

Examples of how artificial intelligence is currently being used in higher education include:
  • Plagiarism Detection.
  • Exam Integrity.
  • Chatbots for Enrollment and Retention.
  • Learning Management Systems.
  • Transcription of Faculty Lectures.
  • Enhanced Online Discussion Boards.
  • Analyzing Student Success Metrics.
  • Academic Research.

Who is the father of AI? ›

Abstract: If John McCarthy, the father of AI, were to coin a new phrase for "artificial intelligence" today, he would probably use "computational intelligence." McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.

Why is AI important to the future? ›

AI enables an unprecedented ability to analyze enormous data sets and computationally discover complex relationships and patterns. AI, augmenting human intelligence, is primed to transform the scientific research process, unleashing a new golden age of scientific discovery in the coming years.

Who invented AI? ›

Stanford's John McCarthy, seminal figure of artificial intelligence, dies at 84. McCarthy created the term "artificial intelligence" and was a towering figure in computer science at Stanford most of his professional life.

Why is AI so important? ›

Today, the amount of data that is generated, by both humans and machines, far outpaces humans' ability to absorb, interpret, and make complex decisions based on that data. Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making.

What are the future of AI? ›

Undoubtedly, Artificial Intelligence (AI) is a revolutionary field of computer science, which is ready to become the main component of various emerging technologies like big data, robotics, and IoT. It will continue to act as a technological innovator in the coming years.

How AI is transforming our lives? ›

Using computer science programming, AI analyzes data and surroundings, solves problems, self-teaches, or adapts to different situations, turning out to be a multifaceted tool that improves the way we combine information, analyze data, and use the resulting insights to make decisions.

What type of AI is Alexa? ›

With conversational AI, voice-enabled devices like Amazon Echo are enabling the sort of magical interactions we've dreamed of for decades. Through a voice user interface (VUI), voice services like Alexa can communicate with people in ways that feel effortless, solve problems, and get smarter over time.

How many AI are in the world? ›

According to our analysis of journal publications and conference papers tracked by the Dimensions database, the global output for AI research grew from just over 52,000 globally in 2000 to roughly 403,000 in 2019, representing an increase of more than 600%.

How is AI used in human resources? ›

AI can alert the right people with the right skill sets to available jobs prior to their posting. Predict candidate performance: AI-based candidate matching uses HR data to calculate a candidate's likelihood to accept a job offer, project performance outcomes, and estimate their expected tenure.

Is Social Media artificial intelligence? ›

AI technology is a key component of the popular social networks you use every single day—and of marketing on those platforms. Facebook uses advanced machine learning to do everything from serve you content to recognize your face in photos to target users with advertising.

How is AI used in healthcare? ›

AI in healthcare can be used for a variety of applications, including claims processing, clinical documentation, revenue cycle management and medical records management.

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