| Autor: |
Nivya Sugathan, R Srinivasa Rao Kunte |
| Rok vydání: |
2023 |
| Předmět: |
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| DOI: |
10.5281/zenodo.7619357 |
| Popis: |
Artificial Intelligence (AI) is the latest trend in the field of technology, but ways to tap its full potential in business and commerce are still evolving. AI’s will have a vital role to transform database management systems across business whether on cloud or on-premises. Researchers are in the ongoing effort to take Big Data to the next level by integrating it well with AI, which is expected to make an incredible difference in people’s lives. A database is basically a data pool that stores data in both sequential and non-sequential format. The integration of AI and Database Management System (DBMS) technologies plays a significant role in shaping the future of computing. AI in database management deploys machine learning models for data mapping and classification for faster processing and better analytics. AI helps the database management mainly in the field of data aggregation and organizing database storage. Database management is expected to fit in well with all emerging and future technologies to work collaboratively and change the destiny of any business by leading them in a meaningful way of developing. We report in this paper about several general approaches to AI/Big Data Database integration and various developments in the field of intelligent databases. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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