AI-Powered Data Lakes: Enabling Intelligent Search and Discovery in Enterprise Data Ecosystems
Year: 2025
Type: article
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.
Author: Bhupender Kumar Panwar
Institution: Salesforce (United States)
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409506605