doi:
UDK: 004.89

PROBLEMS OF USING ARTIFICIAL INTELLIGENCE METHODS IN THE INTERESTS OF STRUCTURAL ADAPTATION OF A DISTRIBUTED DATABASE

Иванов А. Ю., Изотова Н. А.
Article language: English

Annotation

In recent years, distributed databases have become increasingly popular in various fields such as financial services, medicine and transport. However, the use of AI techniques for structural adaptation of these databases may cause some problems. The use of AI techniques for structural adaptation of distributed databases presents both the potential for optimising system performance and raises a number of challenges that require further research and development. It is necessary to take into account the peculiarities of distributed data storage, to ensure confidentiality and fault tolerance of the system, as well as to develop efficient algorithms for handling large amounts of data. Keywords: artificial intelligence, structural adaptation, databases, neural networks.

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