Gen AI Impact On The Database Industry Innovations

Padmaja Pulivarthy

Vol 10, Special Issue 2024

Page Number: 028-037

Abstract:

The future of work is a scattered workforce, and that future is here, it can be concluded from recent developments. Consequently, it is crucial to understand that AI DB integration is not only necessary for the efficient use of AI technology and the advancement of database technology, but also for the computing of the future, which will enable the development of Intelligent Information Systems and enable more efficient and productive work. As a result, AI DB Integration will mainly support businesses, scientific and technological infrastructure, and computer-related humanitarian applications. AI DB Integration is far more significant than one may infer from its contribution to the advancement of AI and DB technology alone, given all the possible benefits at play. improvement just in DB and AI technologies. This review covered a variety of topics by focusing on a few crucial ones, such as the creation of Intelligent Database Interfaces (IDIs), Learnable databases, and Smart Query. Our investigation focused on how AI improves database efficiency through three key areas: strengthening data security, automating regular management activities, and optimizing query performance. In addition, the article provides a thorough assessment of the advancements, difficulties, and opportunities in the short- and long-term application domains where databases and artificial intelligence have converged. The review's conclusion represents the views of a few writers or specialists regarding the necessity and significance of AI database integration as well as the direction of computing in the future.

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