AI-Powered Data Lakes: Enabling Intelligent Search and Discovery in Enterprise Data Ecosystems

AI-powered data lakes represent a transformative approach to enterprise data management, addressing the growing challenges of information discovery in vast, heterogeneous datasets. By integrating large language models, semantic understanding, and automated metadata generation, these intelligent systems enable intuitive data exploration beyond the capabilities of traditional search methods. This article examines how AI technologies enhance data organization, enable natural language querying, and streamline governance processes, making advanced analytics accessible to users without specialized technical expertise. The integration of these capabilities fundamentally changes how organizations interact with their data assets, creating new possibilities for insight generation and decision support across industries, including healthcare, finance, and e-commerce.

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Publication Details

Journal
International Journal of Management Technology
Published
2025-02-15
DOI
https://doi.org/10.37745/ijmt.2013/vol12n26981
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

AI-Powered Data Lakes: Enabling Intelligent Search and Discovery in Enterprise Data Ecosystems

Bhupender Kumar Panwar
1 citations
International Journal of Management Technology
Big Data and Business Intelligence
2.28
article

AI-Powered Data Lakes: Enabling Intelligent Search and Discovery in Enterprise Data Ecosystems

Bhupender Kumar Panwar
article en
1 citations

Abstract

AI-powered data lakes represent a transformative approach to enterprise data management, addressing the growing challenges of information discovery in vast, heterogeneous datasets. By integrating large language models, semantic understanding, and automated metadata generation, these intelligent systems enable intuitive data exploration beyond the capabilities of traditional search methods. This article examines how AI technologies enhance data organization, enable natural language querying, and streamline governance processes, making advanced analytics accessible to users without specialized technical expertise. The integration of these capabilities fundamentally changes how organizations interact with their data assets, creating new possibilities for insight generation and decision support across industries, including healthcare, finance, and e-commerce.

International Journal of Management TechnologyVol. 12(1)
Salesforce (United States) (US)
Openalex Percentile: Top 13%
Big Data and Business Intelligence
2.28
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