What is a common use of artificial intelligence in everyday applications?

The use of artificial intelligence in everyday applications is particularly exemplified through personalized recommendations in shopping and entertainment. This application harnesses machine learning algorithms to analyze user behavior, preferences, and past interactions. By doing so, AI can offer tailored suggestions for products, movies, music, and more, enhancing the user experience by making it more relevant and engaging.

This personalization goes beyond simple algorithms; it often involves complex data analysis, neural networks, and predictive analytics. Such systems learn from large datasets to understand patterns and trends, which allows them to make recommendations that feel intuitive to the user, thereby increasing user satisfaction and, ultimately, sales for businesses.

In contrast, the other choices represent tasks that, while important in the realm of computing, do not inherently involve AI. Performing repetitive calculations and data sorting based on predefined rules are often executed through traditional programming and algorithms without the need for machine learning or adaptive intelligence. Storing information in databases is a fundamental aspect of database management, which does not utilize AI capabilities. These processes are essential but do not embody the innovative and adaptive qualities that characterize the use of artificial intelligence in everyday applications.