AI stands behind the scenes of many day-to-day activities, and we’re so used to having the technologies in every area of our lives that we can’t imagine our routines without them. Whether we’re trying to read emails, scroll social media, or do online shopping — AI is there to make these processes more convenient. People use AI at work and during their free time, and the areas of using AI often overlap.
Many companies are interested in developing their own AI-based projects since there’s much room for innovations in this industry. They often decide to build development teams that include vetted foreign specialists whose rates are usually lower compared to their US-based colleagues. This solution allows businesses to come up with promising projects of high quality that don’t cost them a fortune.
Turning to the matter of using AI in everyday life, let’s make a quick review of the topic.
Table of Contents
Commuting
Google Maps
A couple of years ago, commuting was an unpredictable experience since there was no means to see whether there is traffic in a specific location or for how long one has to wait for the bus. With AI, commuting has become more convenient because people can identify slowdowns and replan their routes. Also, it’s easy to know about any delays in the transportation system thanks to the fact that AI uses weather conditions and traffic status to make forecasts. One of the most common examples of such apps is Google Maps.
Ridesharing Apps
The magic behind the impressive work and popularity of apps like Uber and Lyft comes down to using artificial intelligence. The companies utilize various algorithms based on AI and ML to forecast traffic and arrival time. The apps analyze large volumes of data in the minimum time to determine the shortest and most convenient route for the ride.
Also, the mentioned apps keep in mind users’ preferences, offering them to choose from the list of destinations they have selected before. Quick booking of the previously searched destinations is a feature that makes the users choose such apps over ordering the cab by phone.
Self-Driving and Parking Vehicles
Tesla is one of the brightest examples of autonomous vehicles. Such cars are equipped with sensors, the purpose of which is to help the automobile understand its surroundings better. These sensors generate large chunks of data, which have to be processed. And that’s when AI comes into play. Artificial intelligence is the crucial element of self-driving cars’ ability to operate. To create autonomous vehicles, the developers utilize a set of various technologies alongside AI, including ML, neural networks, and image recognition.
Spam Filters
Gmail by Google uses AI to make sure all the emails in the user’s inbox are in its places. Filters help sort them into several categories, including primary, social, promotions, updates, forums, and spam.
This helps to keep the inbox more organized and find relevant emails quicker. Spam is in a separate folder, and, according to Google, AI helps to prevent 99% of spam from getting into users’ inboxes.
Smart Replies
These are the replies offered in Gmail, which users can select to respond to emails without actually typing the text themselves. These replies are tailored to the content of each email, and users can choose a one-click smart reply if it fits the context.
Smart replies mimic users’ writing styles, so they often look like the genuine responses of people. For example, if someone invites you to visit the upcoming exhibition, you can choose an offered reply, which might include “Let’s do it,” I’m in,“ or “I’m no longer available.”
Grading and Assessment
Plagiarism Checkers
Many people are familiar with the Turnitin tool, which is often used in schools, colleges, and universities to check students’ papers for plagiarism. The tool is based on ML algorithms and helps analyze databases and sources that aren’t located within databases, for example, those in foreign languages or not digitized.
Robo-Readers
Since grading essays is a time-consuming task, which requires significant effort, the companies have decided to automate this process by introducing essay-grading AI tools. One of the most widespread examples is an e-Reader. It helps to assess students’ essays, which are then transferred to a human-grader. In this way, the grading process costs less and becomes more effective.
Banking/Personal Finance
Mobile Banking
Many banks use AI to personalize the experience of using their mobile apps for users. Some apps analyze clients’ account information to provide personal alerts. These can include reminders about paying bills or transfer prompts.
Fraud Prevention
There are systems created with AI that help to determine fraudulent activities. They usually take into account the frequency of transactions, their size, and the involved retailers. In case an unusually large transaction takes place in the account, the user will get a warning alert on one’s phone.
Social Networking and Entertainment
The function of suggesting friends relies on AI and ML. These technologies analyze your usage patterns and apply the received data to identify friends from photos and news feeds. Also, Facebook scans users’ posts to detect any information that might harm them or society.
Netflix
The recommendations of content you might also want to watch on Netflix are also possible thanks to the implementation of AI and ML. The platform analyzes users’ past viewing activities and utilizes a content rating system to suggest recommendations.
The platform leverages computer vision, which is based on AI and can automatically identify objects in images. This explains Pinterest’s ability to recommend visually similar pins. Also, AI enables it to prevent spam, make search and discovery more personalized, and manage ad performance and monetization.
Conclusion
Here we go: these are some of the most notable examples of using AI in everyday life that significantly simplify routine tasks and make many processes more convenient and less time-consuming. AI changes people’s lives, allowing them to focus more on things that matter and increase their productivity.