Examples of Artificial Intelligence applications in our everyday life

We’ll look at eight examples of how artificial intelligence saves us time, money, and energy in our daily lives in this article.
It’s helpful to know what artificial intelligence is before we can figure out how it affects our lives (and what it is not). Artificial intelligence, according to the Oxford Dictionary, is “the theory and development of computer systems capable of doing activities that ordinarily require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.”
Machine learning (ML), deep learning (DL), and natural language processing (NLP) are the most important AI technologies (NLP).
Deep Learning is often thought to be a more advanced kind of ML because it learns through representation, but the data does not need to be structured.
Natural Language Processing (NLP) is a linguistic tool in computer science. It enables machines to read and interpret human language. NLP allows computers to translate human language into computer inputs.
Here is a list of eight examples of artificial intelligence that you’re likely to come across on a daily basis.

Applications of AI in everyday life

1. Maps and Navigation
   Instead of having to rely on printed maps or directions, you can now use Waze or Google, or Apple Maps on your phone and type in your destination. So how does the application know where to go? And what’s more, the optimal route, road barriers, and traffic congestions? Not too long ago, only satellite-based GPS was available, but now, artificial intelligence is being incorporated to give users a much more enhanced experience. Using machine learning, the algorithms remember the edges of the buildings that it has learned, which allows for better visuals on the map, and recognition and understanding of house and building numbers. The application has also been taught to understand and identify changes in traffic flow so that it can recommend the route that avoids roadblocks and congestion.
   
2. Facial Detection and Recognition
   Using virtual filters on our faces when taking pictures and using face ID for unlocking our phones are two examples of artificial intelligence that are now part of our daily lives. The former incorporates face detection, meaning any human face is identified. The latter uses face recognition through which a specific face is recognized. Facial recognition is also used for surveillance and security by government facilities and at airports.
   
3. Text Editors or Autocorrect
   AI algorithms use machine learning, deep learning, and natural language processing to identify incorrect usage of language and suggest corrections in word processors, texting apps, and every other written medium, it seems. Linguists and computer scientists work together to teach machines grammar, just like you were taught at school. The algorithms are taught through high-quality language data so when you use a comma incorrectly, the editor will catch it.
   
4. Search and Recommendation Algorithms
   When you want to watch a movie or shop online, have you noticed that the items suggested to you are often aligned with your interests or recent searches? These smart recommendation systems have learned your behavior and interests over time by following your online activity. The data is collected at the front end (from the user) and stored and analyzed through machine learning and deep learning. It is then able to predict your preferences, usually, and offer recommendations for things you might want to buy or listen to next.
   
5. Chatbots
   As a customer, interacting with customer service can be time-consuming and stressful. For companies, it’s an inefficient department that is typically expensive and hard to manage. One increasingly popular artificially intelligent solution to this is the use of AI chatbots. Chatbots are taught to impersonate the conversational styles of customer representatives through natural language processing (NLP). They can answer complex questions requiring detailed responses.
   
6. Digital Assistants
   When we have our hands full, we often resort to ordering digital assistants to perform tasks on our behalf. When you are driving, you might ask the assistant to call your mom (Don’t text and drive, kids). A virtual assistant like Siri is an example of an AI that will access your contacts, identify the word “Mom”, and call the number. These assistants use NLP, ML, statistical analysis, and algorithmic execution to decide what you are asking for and try to get it for you. Voice and image search work in much the same way.
   
7. Social Media
   Social media applications are using the support of AI to monitor content, suggest connections, and serve advertisements to targeted users, among many other tasks to ensure that you stay invested and “plugged in”.AI algorithms can spot and swiftly take down problematic posts that violate terms and conditions through keyword identification and visual image recognition. The neural network architecture of deep learning is an important component of this process, but it doesn’t stop there. Social Media companies know that their users are their product, so they use AI to connect those users to the advertisers and marketers that have identified their profiles as key targets. Social media AI also has the ability to understand the sort of content a user resonates with and suggests similar content to them.
   
8. E-Payments
   Having to run to the bank for every transaction is an enormous waste of time and AI is playing a part in why you haven’t been to a bank branch in 5 years. Banks are now leveraging artificial intelligence to facilitate customers by simplifying payment processes. Even potential fraud can be detected by observing users’ credit card spending patterns. This is also an example of artificial intelligence. The algorithms know what kind of products User X buys, when and from where they are typically bought, and in what price bracket they fall.

The examples of artificial intelligence that we have discussed not only serve as a source of entertainment provide many utilities that we use often
Summarized from Sasha Reeves’s writing