5 applications of artificial intelligence that we use in our daily lives

 5 applications of artificial intelligence that we use in our daily lives


What do you think of when you hear the word “artificial intelligence”? Do you think of science fiction movies in which advanced robots control humans? Or do you feel that the term refers to complex technologies that you cannot understand? In fact, AI applications are all around us and we deal with them in our daily lives. Here are some examples that illustrate our use of artificial intelligence in our lives:



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1- Social media:


Elements of artificial intelligence are present in many of the popular social media platforms that we use every day, such as Facebook! Facebook uses a special algorithm to display content and ads that suit your interests. This starts from arranging posts and displaying them on your home page to making predictions about your interaction with each of them.


Artificial intelligence includes many other features on the Facebook platform, such as the image recognition system supported by machine learning, which is a system that recognizes photos of your friends and allows you to share memories with them. Facebook launched this feature in 2014, where Facebook beat the Federal Bureau of Investigation [FBI] in facial recognition, reaching an accuracy level of 97%, compared to an accuracy level of 85% at the FBI according to The Verge, an American news site run by Vox. Media.


Most social media platforms allow users to express themselves and connect with others, but is there a downside?


Although many are concerned about the widespread use of technological platforms and how this has made it easier for some to hide behind their digital screens and write harmful comments; Many people are exposed to cyberbullying, and Facebook's AI is also contributing to solving this problem, as it helps identify widespread hate speech and remove it without any human intervention. This was made possible by developing an understanding of language and different types of content, so that Facebook's systems can analyze images, text, and comments holistically.


2- Determine your destination and know the expected time of arrival:


Using Google Maps to guide us on our journeys, or to check how long a route takes, may seem like a simple process that only takes a few seconds, but there is actually a lot of technology behind the scenes.


The app uses machine learning to make predictions based on comparing two sets of data; Current data and previous trips, the application analyzes previous patterns and combines them with current traffic conditions. Based on this data, Google Maps can determine the expected time of arrival.


To increase accuracy, Google Maps has partnered with DeepMind, an AI research lab that uses a machine learning architecture known as Graph Neural Networks to better predict road conditions before any users are even affected by road congestion.


  Another advantage of artificial intelligence in this case is the ability to identify alternative routes to choose which route the user can take to avoid traffic congestion. Predictive traffic models are determined in part by two types of data; Official statements from local governments and instant feedback from users.


3- Find a car for your trip:


From helping us reach our destination to enabling us to book our flights, we can see the impact of AI in our daily lives in a great way.


Taxi-hailing services like Uber use machine learning predictions to fill the gap in demand by using recorded data to estimate when requests will increase, and provide a number of cars to cover those areas. This helps Uber retain customers, as users are more likely to resort to another service. If they do not have a car immediately.


Artificial intelligence has also enhanced this experience through the ability to communicate easily, as it is difficult for drivers to write messages while driving. Natural language processing powered by machine learning gave drivers the solution via one-click chat; Choose from specific answers to the most common messages.


4- Improving customer experience through chatbots


How many times have you talked to a chatbot on a website to buy a product or get a specific service?


Many companies have invested in AI and chatbots specifically over the past few years, enhancing customer service and changing the way we receive our services.


To facilitate and develop the customer experience, companies use chatbots to handle the initial steps of interacting with the customer, requesting basic information such as the user’s account number, order number, payment details, and contact information. This reduces the load on human resources and frees them up to focus on issues that are too complex for chatbots, as well as reducing the wait time it takes for customers to speak with agents – increasing the overall efficiency of the customer experience.


AI-powered chatbots also help businesses anticipate and avoid complaints by picking up patterns in user behavior and “learning” from them. This allows chatbots to notice issues and control them before they become apparent to the customer.


5- Organize your email inbox


Did you know that with your Gmail account, you interact with AI on a daily basis without even noticing?


To help you prioritize and organize your messages, Google uses AI in Gmail to sort and divide emails into different categories such as basic, social, promotions, updates, forums, and spam. Artificial intelligence can remove 99% of unwanted emails. Gmail can also deliver short smart replies using machine learning technology that makes your email response just a click away.


As investment in AI continues, we can expect to see even more growth in the coming years; The uses of artificial intelligence in everyday life will become more impressive, and even major organizations today are looking to artificial intelligence to solve the major challenges facing us all.


Believing in the importance of artificial intelligence, the Nile Pioneers Initiative joined in organizing the regional competition AI4DEV2020 (Artificial Intelligence for Development), which targeted artificial intelligence developers who have innovative ideas and can help solve global challenges.




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