A Database Management System (DBMS) is a software layer that manages the storage, organization, access, and manipulation of data. While its core functionality may evolve with technological advances in the past decades, the essential value of a DBMS or data service delivery remains unchanged: cost efficiency and high availability that consistently underpin business success.Cost-efficiency as one of the most critical values a DBMS offers to business, the ability to manage and process data without excessive resource consumption directly impacts a company’s bottom line. A cost-efficient DBMS minimizes hardware and operational overhead, reduces licensing and maintenance expenses, and optimizes resource usage. This allows businesses to scale their data operations without proportionally scaling their costs.

Artificial Intelligence (AI) refers to a system’s ability to accurately interpret external data, learn from it, and apply that learning to achieve specific goals through flexible adaptation. The concept of AI emerged in the 1950s, leading to an initial “golden age” before 1970. In the following decades, the success of systems like Deep Blue and AlphaGo in specific domains reinforced the value of using AI algorithms to solve well-defined problems.With the rapid rise of Large Language Models (LLMs), such as GPT and its successors, a second golden age of AI has clearly arrived. LLMs have brought unprecedented advancements in natural language understanding and generation, and their applications are now among the hottest topics in both research and industry.