9 Examples of AI in Everyday Life

by henry.marc

Artificial intelligence is a broad term that encompasses a variety of technologies.

The first step in understanding the influence of AI on our daily lives is to define it clearly.

To put it another way, AI is the process where computers can act on data through statistical analysis, allowing them to grasp and analyze data using algorithms. A computer program does these tasks for us without any human involvement. Automated systems using AI may learn from human behavior patterns and modify their reactions accordingly.

Three of the most essential AI technologies are machine learning (ML), deep learning (DL), and natural language processing (NLP). With the help of organized massive data sets and continual input from humans and algorithms, robots may learn how to respond better through the practice of ML.

Many people believe DL is a more advanced kind of ML since it learns via representation, yet the data does not need to be organized.

Computer science uses NLP to analyze and understand human language. Using NLP, computers can read human language and turn it into computer inputs.

Artificial Intelligence: Real-World Examples

Some items on this list might surprise you. However, surprised or not, all of these examples of AI you use, and many on a daily basis.

Detection and Recognition of Facial Expressions

AI is becoming a part of our daily life in the form of virtual filters on our faces and facial ID for unlocking our phones. Face detection is included in the former, allowing it to identify any human face. It works by detecting your special facial features which are unique to your body, and it remembers them.

Identification is not obstructed by day-to-day makeup, glasses, or a hat/cap. However, if you change your facial features too much (by wearing heavy makeup, large dark sunglasses, or a large beach hat) the facial ID may not work.

Government buildings and airports also utilize facial recognition for monitoring and security.

Navigational aids and maps

Traveling has been made significantly easier because of advances in AI. With Waze, Google, or Apple Maps on your phone, you no longer have to depend on paper maps or directions to find your way.

So, how does the app know where it should be going? How can it predict the best route, roadblocks, and traffic jams? The only GPS technology accessible until recently was satellite-based, but AI is now being implemented to provide consumers with a far better experience.

With the use of ML, maps can now recognize even the house numbers. To prevent blockages and congestion, the maps have been trained to notice and interpret changes in the traffic flow.

Smart Manufacturing

In the appropriate situation, AI can be very useful. Contextualizing AI adoption goals for the business is critical to developing realistic business goals.

No solution, even AI, will fix all or most of your problems. Generally, AI works best when applied to a specific issue, or a collection of related difficulties. In general, if a vendor claims to do everything, they typically do nothing well. As we all know it, a jack of all trades is a master of none.

This brings us back to AI in manufacturing.

A few immediate advantages of machine learning in manufacturing include the following:

  • Reduced process-related losses including production, waste, and quality
  • Enhanced capacity through process optimization
  • A highly streamlined process enables scaled product line growth and expansion
  • Predictive Maintenance reduced servicing, lowered labor costs, and reduced inventory and material waste
  • Predicting Remaining Useful Life (RUL) contributed to better performance while maintaining machine health
  • Improved supply chain management through better inventory control and production flow monitoring
  • Improved Quality Control with actionable insights
  • Improved Human-Robot cooperation increases staff safety and efficiency
  • Consumer-focused production — fast response to market developments

Examples of AI

[Source Unsplash]

Social media

Among the various activities that social media apps perform with the assistance of AI are monitoring content, suggesting relationships, and serving adverts to specific users.

Through keyword identification and visual picture recognition, AI systems can quickly identify and remove problematic content that violates terms and conditions. However, this process doesn’t end with the neural network design of deep learning.

Users are the product of social media firms, therefore they employ AI to link them with the advertisers and marketers who have recognized their profiles as significant targets. Social media AI may also figure out what kind of material a user is interested in, and then recommends that kind of content to them.

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Search Algorithms and Recommendations

Have you ever noticed that when you go to watch a movie or purchase online, the goods that are shown to you are often related to your interests or recent searches? As a result of tracking your online activity, these intelligent recommendation systems have gleaned knowledge about your preferences and habits.

A user can obtain data on the front end by using ML and DL. Once it has this information, it is able to anticipate your likes and dislikes and provide suggestions for what you should buy or listen to in the future.

Automated chatbots

Contacting customer care can be both time-consuming and nerve-wracking for a buyer like you. It’s a costly and difficult-to-manage department for most corporations. AI chatbots are an increasingly popular artificially intelligent answer to this problem. With the help of computer algorithms, robots can now answer commonly asked inquiries, track orders, and even route phone calls for their owners.

NLP is used to teach chatbots to mimic the conversational style of customer service professionals. Advanced chatbots no longer require inputs (e.g., yes/no questions) in a certain format (e.g., text input). They are able to provide in-depth replies to inquiries of a more complicated kind. Because the bot can recognize and remedy any mistakes it makes, it ensures optimum customer satisfaction if you give it a low rating for the response you receive.

Digital assistants 

We frequently use digital assistants to delegate duties when we are overburdened. I’m sure you’ve asked Siri or Alexa to call someone for you, at least once.

In order to figure out what you want and make sure you get it, these assistants employ a combination of NLP, ML, statistical analysis, and algorithmic execution. Both voice and image searches function similarly.

Text Editors and Autocorrect

Autocorrect AI techniques employ machine learning, deep learning, and natural language processing to recognize erroneous usage of words and recommend corrective actions in word processing, texting applications, and any other written media. Machines are being taught grammar in the same way that you were taught it in school. To ensure accuracy, the editor relies on high-quality linguistic data to train its algorithms.

Online banking 

For the past five years, people are going to the bank to pay their bills less and less, thanks to AI. Banks now use AI to make the payment process simpler for their consumers.

Deposits, transfers, and even account openings may now be done from any location thanks to intelligent algorithms that use AI for security and identity management, as well as privacy restrictions.

Users’ credit card spending patterns can reveal even the tiniest hints of possible fraud. And you can see AI working hard on this, too. The algorithm knows exactly when and where you bought certain things, as well as what price range it falls in.

An alert or a prompt to verify transactions can be generated if the system detects unexpected activity that doesn’t match the user’s historical pattern of behavior.

Examples of AI

[Source Unsplash]

Final Thoughts 

These instances of AI explain why AI is spoken about everywhere; it’s employed everywhere. We use AI in nearly every aspect of our lives. The next time we place an order for coffee through mobile, we could be presented with a different choice. You may see a new video on Instagram during your lunch break.

Google Maps helps you find a new place to eat for supper. So, AI is working hard to enable us to have the most easygoing life we could possibly want, making some choices for us. By offering us the choice of where to eat, drink coffee, which shirt to buy, AI takes some pressure off of us and our daily stressful life. If anything, having AI increases the quality of life in so many ways.

Author Bio

Sophie Douglas is a digital marketing specialist and a journalist based in Columbus, state of Ohio.
Her characters are passionate, innovative, and ambitious.

Before becoming a writer for FindDigitalAgency, she was writing short stories, screenplays, and directing short films.

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