While we might think that artificial intelligence (AI) is something futuristic, it already has an enormous impact on our daily lives. Artificial intelligence doesn’t only change the way we work but also the way we live and make decisions. In this article, we’ll introduce the top 10 most common examples of AI in everyday life.
Apple’s Siri, Google Assistant, Amazon’s Alexa, and Microsoft’s Cortana are perhaps the most popular virtual assistants available. These AI-powered assistants help users perform various tasks, from finding and calling a contact, browsing websites, to sending commands to other apps. Artificial intelligence has a significant impact on the way these apps work because they learn from every single user interaction. This allows them to recognize speech patterns better and provide users with results tailored to their preferences. There’s no doubt that virtual assistants will continue to grow and become even more capable of assisting us in our daily lives.
Have you ever looked at an online advertisement and realized that you were thinking about buying this product? There is no magic here, and AI isn’t reading your thoughts. Instead, it’s about keeping track of your online activities. The search engines record the products you browse on various shopping sites and provide you with advertisements related to these products.
AI also uses demographic data, such as your age, gender, job, etc., to identify which products are most likely to be of interest to you. Today, more and more businesses are using digital marketing tools to target their preferred customers.
Robot vacuums are one of the most common examples of AI in everyday life. They use AI to scan your living area, pinpoint obstacles and remember the best route to clean your house. The vacuum bot can also identify how much cleaning it needs to do based on the size of the room, and some robot vacuums even come with a mopping function.
The banking and finance industry, which plays a major role in our lives, has been using artificial intelligence to optimize customer satisfaction by simplifying payment processes and providing security features. For example, running to the bank for every transaction has become something of the past. Thanks to intelligent algorithms, we can make deposits, do money transfers, and even open an account from anywhere.
Artificial intelligence also increases security, identity management, and privacy controls. A typical example is the automated emails you receive from banks whenever you make an unusual transaction. AI can detect potential fraud by observing users’ credit card spending patterns. The system can create an alert or a request to validate transactions if there is any unexpected activity that doesn’t fit your user profile.
In the past, interacting with customer service was often time-consuming and stressful. Even today, if a company doesn’t offer 24/7 customer service, it will be difficult for customers to have their concerns addressed outside of office hours. One increasingly popular solution to this problem is AI chatbots.
AI chatbots are set up with programmed algorithms, enabling them to answer frequently asked questions and take/track orders, which makes interactions between the customer and the company easier than ever. Today, advanced chatbots don’t offer only specific output formats such as yes/no questions. They can answer complex questions that require detailed responses. Additionally, if customers leave a poor rating for the response they receive, the bot will identify the mistake and correct it for next time to maximize customer satisfaction.
Text editors and autocorrect
Have you ever typed a misspelled word, and your phone or computer corrected it automatically? That’s because AI algorithms use machine learning, deep learning, and natural language processing to identify incorrect language usage and suggest corrections in word processors, texting apps, and other digitally written documents.
Machine learning is taught by linguists and computer scientists, which results in high-quality language data. When you type an incorrect sentence, the editor will catch it and make suggestions to fix it.
Facial detection and recognition
Many of us are probably familiar with using face ID for unlocking phones or taking pictures with virtual filters on our faces. These activities are typical examples of AI in everyday life, in which the algorithms incorporate face detection, which can identify any human face, then use face recognition to recognize a specific face to unlock the phone or make a command (e.g., confirming a transaction). Facial recognition also helps government facilities with surveillance and security.
Maps and navigation
Artificial intelligence has drastically improved traveling. Instead of having to buy and carry paper maps, you can now use Google or Apple Maps on your phone and search for your destination. How does the mobile app know where to go and suggest the optimal route, road barriers, and traffic congestion?
In the past, there were only satellite-based GPS available. Now, artificial intelligence is being incorporated into these devices to provide users with a much more enhanced experience. The algorithms employ machine learning to remember the edges of the buildings they’ve learned, leading to better visuals on the map and the ability to recognize house and building numbers.
The application can also understand and identify changes in traffic flow, such as user-reported incidents or road construction, to recommend a route that avoids roadblocks and congestion.
When you use a rideshare app, how do they determine the price of your ride? How do they minimize the wait time once you hail a car? How do these services optimally match you with other passengers to minimize detours? The answer is machine learning, another example of AI in everyday life. Uber’s Head of Machine Learning, Danny Lange, has confirmed Uber’s uses of machine learning for ETAs for rides, estimated meal delivery times on UberEATS, computing optimal pickup locations, as well as for fraud detection.
If you’ve ever finished a TV show on Netflix, you’ve probably noticed how Netflix immediately suggests other shows you may enjoy watching next. YouTube is another platform that recommends videos or playlists relevant to your likes. This is how AI works: it analyzes thousands of records to suggest movies, TV shows, and videos that you might like based on your preferences and reactions to previous media choices.
The bottom line
These examples of AI in everyday life prove why artificial intelligence is talked about everywhere: it appeared everywhere. AI has greatly affected nearly every part of our daily lives, making us more productive and our lives more convenient.
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