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Utilizing AI and Database Technologies to Stimulate Innovation

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This article provides a comprehensive overview of the advances made over the years in the field of database management systems (DBMS), including relational and non-relational databases. It provides an overview of the current state of database technology, identifies emerging technologies that will impact future database management, and discusses potential research and development directions for the future. In an ever-changing technological landscape, database management is a cornerstone for many businesses and organizations. As data volumes continue to grow exponentially, the need for more efficient, scalable, and secure database solutions becomes paramount.


Databases are not a novel concept. The ability to store, retrieve, and return data to the user has been at the heart of web application development for decades. But this does not mean that things have remained the same. Relational databases developed in the 1970s still form the backbone of most modern computer technology. However, more and more companies are turning to more innovative solutions. Companies have been working to provide us with new features. This means faster ways to access our data — new approaches that represent the data closer to the real world or closer to the knowledge domain we are trying to model. Let’s briefly try to answer the question.

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