Artificial Intelligence (AI) is one of the most discussed topics in the world of technology. It is also one of the most promising tools that people hope will improve our lives. For many, AI is something unbelievable and difficult to understand. However, we utilize AI in our day-to-day life in many ways without even knowing about it.
According to statistics, only 33% of people know they use AI in their daily life. In reality, nearly 77% utilize AI-powered services, not once but multiple times a day. For example, vacuum cleaners are one of the many tools people implement in their households. Although this article does not talk about vacuum cleaners, you can learn more about them in this AITJ article Best Robot Vacuum Cleaners for Rugs and Carpets in 2022.
This article explains the most common of how the masses utilize AI. The most broad-based examples of AI in day-to-day life include:
- Personalized Marketing
- Voice Assistants
- Navigation and traveling
- Facial Recognition Technologies
- Smart home devices.
Although the article focuses on these five areas where AI is used, there are many more ways machine learning methods partake in our daily routine.
Personalized Marketing
AI can collect data about users’ activities on social media. It helps them suggest to consumers the most suitable offers, according to their preferences, interests, and needs. In addition, brands can push personalized suggestions based on the location of their potential customer. Moreover, not only people’s likes, tweets, shares, and comments are analyzed. Google search queries are also part of the data analyzed by AI. If you ever wondered why you immediately get the ads on the subject you googled only five minutes ago, this is how AI works.
Moreover, some companies plan to expand the idea of personalized marketing and offers. For example, McDonald’s and Starbucks were working to personalize menu boards. The implemented machine learning methods would analyze the factors that could influence customers’ decisions and rearrange the menu accordingly. It would help customers spend less time choosing their meal and increase the effectiveness of customer service.
Here, we cover only some primary aspects of AI in Marketing. However, if you want to expand your knowledge on the topic, you should read this article: 5 Ways AI is Changing Marketing.
Voice Assistants
Voice assistants are a big part of people’s lives. More than half of Americans use digital voice assistants to interact with their phones. Additionally, approximately 40% of people utilize the voice search function at least once a day.
Users utilize voice assistance in various ways – from creating their daily schedule to asking about the weather forecast. Such assistants are programs that listen to verbal commands, process them, and create an appropriate response. These tools process natural language and use AI-driven generators to reply to the given inquiries. The reply-generating algorithms are constantly improved to provide the most rational and suitable answers. Some popular voice assistants include Siri, Alexa, Google Home, and Cortana.
Navigation and Traveling
The role of AI in navigation and traveling experiences rapid growth. AI-powered travel aids go far beyond simple apps like Google Maps. There are thousands and millions of bytes of geographical data that are updated every second. People would not manage to process these amounts of information manually. Hence, only machine learning algorithms can effectively check the updated data.
Moreover, various travel apps, including Google Maps, implement AI to track traffic on the roads and update weather conditions in requested areas in real-time. It allows these tools to suggest the best ways to avoid gridlocks.
A group of researchers at MIT created a navigation model that also tags specific road features, such as free parking places or the presence of cycling lines. This technology is based on satellite imaging and the analysis of these pictures. Moreover, it improves GPS navigation in areas with limited map data.
Also, commuting and traveling are much easier thanks to self-driving cars. These vehicles function based on numerous sensors, cameras, AI, and radars that allow these cars to understand the situation on the road. AI and neural networks process the information they get from cameras to ensure successful traveling between cars’ destinations. The analyzed data includes traffic signals, pedestrians, road signs, trees, other vehicles, and checks. In addition, the vehicles utilize the previously explained real-time tracking technology. This information allows AI-powered self-driving cars to prevent accidents and follow traffic regulations.
Facial Recognition Technologies
Everybody knows about Face ID as it is implemented in almost all mobile phones and other devices. This tool uses AI to recognize people’s faces and confirm their identity. However, despite the traditional use for accessing your device, facial recognition can be used differently. For example, this AI-powered tool allows recognizing people in photos and videos or even in real-time.
The biggest drawback that this technology currently possesses is the concern about racial and gender discrimination. Moreover, sometimes AI makes mistakes by not recognizing or wrongly identifying people. However, scientists are actively trying to reduce errors in facial recognition with the help of Generative Adversarial Neural Networks.
Moreover, various companies try to teach AI to recognize emotions and their customers’ moods based on people’s facial expressions. It is an area of interest for many companies seeking to improve their customer service.
Smart Home Devices
Although smart homes are not the most popular types of AI applications, they are quite broad-based. We all know stories about homes that can turn on or off the light, change the temperature, and open doors. These tools and functions are also performed by machine learning algorithms.
For example, clever fridges can create a shopping list for their owners based on the products that are not present in them. In this case, AI gathers data about users’ habits to predict their future behavior. This mechanism of learning human habits allows smart homes to suggest to their owners the most suitable options like changing the temperature or buying specific goods.
Artificial Intelligence surrounds us in our day-to-day life in many ways we don’t know. This technology makes our life easier. Therefore, it is beneficial to know about various AI applications to utilize them.
