Data Engineering draws on fields such as statistics, mathematics, programming and Artificial Intelligence; It provides services such as performance analysis, performance improvement suggestions, product development and marketing suggestions to industries using data extraction, processing, visualization and data maintenance methods.
Artificial Intelligence, on the other hand, focuses on the development and application of computational technologies inspired by the way humans learn, reason and make decisions.
By bringing these two disciplines together, data collected from areas such as transportation, entertainment, home and service robots, education, security, finance, commerce and health are analyzed. Using this data, artificial intelligence systems that enter our daily lives are developed. Considering that the amount of digital data produced in the world has increased rapidly in the last two or three years, the communication between these data and the importance of data-based deep learning will become even clearer.