Since John McCarthy first time coined the term “Artificial Intelligence”, AI has come a long way. Artificial Intelligence is not a new word for the technology world, but it is still something that layman finds difficult to understand.
This article sheds light on the most common examples of Artificial Intelligence in daily life.
You might have seen the notification on your Google Map or Apple Map that there is an obstruction on the road, and the map recommends another route to reach your destination. Google and Apple use Artificial Intelligence for real-time insights into the path you are traveling on to give you personalized information about the road closure, heavy traffic, or obstruction on the road, so you don’t have to face the traffic.
Whether you are an employee, business owner, or student, you must have taken support of Grammarly or any other similar tool to analyze your grammar, spelling, sentence structure, the intent of the content, and tone. These tools are a combination of Artificial intelligence and machine learning that utilizes natural language processing to correct the errors in your writing and also recommend better sentence or paragraph structure.
Many mobile phones have features to recognize faces to unlock the phone, and almost all smartphones today use funny facial filters that utilize face detection technology. Such face recognition and detection technology are the most frequently used artificial intelligence application that is an advanced form of biometric authentication that can identify a person based on their facial features in an image or video.
You might have noticed that your search results keep changing periodically, or you might have observed that the google search results on your device are different from the search result on your friend’s device. Artificial intelligence recommendation systems recommend personalized search based on user preferences, not just search specifications.
The chatbot does not need an introduction, but you should know how it works. AI-powered chatbots require access to tons of conversational data to answer the visitor’s query. So AI developers train the chatbots to understand the context of the question and not just the keywords used in the query. This way, AI chatbots can answer complex queries with more precise answers in the natural language that users can understand.
Nowadays, very few people prefer to pay in cash. The majority of the transactions happen via E-payment methods or with debit or credit cards. AI plays a vital role in E-payments. Having Artificial Intelligence integrated with the payment system reduces errors or identifies the pattern in unusual transactions to notify the user.
Do this exercise by yourself; search for something unusual on google, something that you have never explored before. Give the platform some time, and within a couple of days, you will be recommended with the advertisements based on your search on the respective search engine or social media platform.
Advertisements nowadays are targeted to specific users only. If the ad is about ‘Data Science Courses,’ it will be shown to the data science aspirants or students only. Not only to show the advertisement but the ROI can be measured too for future reference.
The latest cars have multiple AI-powered features, such as Tesla cars. Numerous sensors, maps, cameras, chips, and so many more components of cars are integrated with AI to give the best possible service to the drivers. It helps drivers with decision-making and provides ultimate comfort while driving. With the help of AI, auto-driving became possible. This example of Artificial Intelligence is currently being used by many car manufacturing companies.
Smarthomes have grown its popularity in households in many countries. According to research, in 2020, 37% of homes will be equipped with smart home devices. Innovative home features assist the resident with gathering data from automation devices like predicting the user behavior, maintenance data, security, and privacy data.
Multiple crimes in history have been solved with the assistance of CCTV cameras. Even if the offense is committed in the dark, AI and ML techniques can empower cameras with color conversions, face identification, clear images, text detection, etc.
There might be other intelligent camera lenses, but here, Google Lens is taken as an example because there are multiple intelligent features that make the Google Lens best in itself. Features like scanning code, language, text, image, shopping, places, and dining make the Google Lens the best available bright lens for non-specialists. These features are strongly powered by Artificial Intelligence and machine learning algorithms to scan the object and understand the action that the user might wish to take next.
Streaming platforms are one of the most frequently used examples of Artificial Intelligence. Media Streaming Services like Netflix and Prime Videos rely heavily on AI and ML for features like personalized thumbnails, show/movie recommendations, content production, streaming quality optimization, etc. OTT platforms benefit majorly by integrating Artificial Intelligence and Machine Learning with their platform.
If you haven’t yet experienced any of the above-mentioned examples of Artificial intelligence in everyday life, make sure you explore it and enjoy the potential of Artificial Intelligence. If you think of an AI application not already mentioned in the article, feel free to cite it in the comment section below. We are covering the articles on all the latest technologies and frameworks; stay tuned with our posts – DevTech Today.
