IMPACT OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AT THE HEART OF DATA MANAGEMENT

The impact of artificial intelligence (AI) technologies on data management is significant and rapidly evolving. AI enables the automation of large-scale data analysis, making it easier to identify patterns, trends, and anomalies. With machine learning algorithms, organizations can enhance real-time decision-making, optimize operational processes, and personalize customer experiences. Moreover, AI integration improves data security by detecting suspicious activities and preventing data breaches. It also aids in data classification and management, streamlining storage and access. However, the adoption of these technologies presents challenges, particularly regarding privacy and ethics. Concerns about algorithm transparency and bias management are critical, as decisions based on biased data can lead to unfair outcomes. In summary, while AI transforms data management practices, it necessitates careful consideration of ethical and regulatory issues.

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Publication Details

Journal
IJRDO -Journal of Computer Science Engineering
Published
2025-01-01
DOI
https://doi.org/10.53555/cse.v11i1.6241
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

IMPACT OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AT THE HEART OF DATA MANAGEMENT

Cédrick MOKILI MOKOSO
IJRDO -Journal of Computer Science Engineering
Big Data and Business Intelligence
article

IMPACT OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AT THE HEART OF DATA MANAGEMENT

Cédrick MOKILI MOKOSO
article en

Abstract

The impact of artificial intelligence (AI) technologies on data management is significant and rapidly evolving. AI enables the automation of large-scale data analysis, making it easier to identify patterns, trends, and anomalies. With machine learning algorithms, organizations can enhance real-time decision-making, optimize operational processes, and personalize customer experiences. Moreover, AI integration improves data security by detecting suspicious activities and preventing data breaches. It also aids in data classification and management, streamlining storage and access. However, the adoption of these technologies presents challenges, particularly regarding privacy and ethics. Concerns about algorithm transparency and bias management are critical, as decisions based on biased data can lead to unfair outcomes. In summary, while AI transforms data management practices, it necessitates careful consideration of ethical and regulatory issues.

IJRDO -Journal of Computer Science Engineering
Institute of Commerce and Law (RU)
Openalex Percentile: Top 92%
Big Data and Business Intelligence
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