International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Unlocking Insights with Natural Language: The Role of Natural Language Interfaces in Modern Data Exploration

Author(s) Praneeth Thoutam
Country United States
Abstract Natural Language Interfaces (NLIs) for data exploration represent a transformative advancement in data
analytics, combining sophisticated natural language processing with modern artificial intelligence
techniques to democratize data access and analysis. This article presents a comprehensive examination of
NLI architectures, exploring their core components including semantic parsing, intent recognition, and
entity extraction systems, while detailing their integration with large language models and
transformer-based architectures. This article analyzes the technical challenges and solutions in
implementing NLIs within enterprise environments, particularly focusing on their integration with major
data warehouses like BigQuery and Snowflake, and discusses crucial aspects of scalability, performance
optimization, and security considerations. This article also addresses the critical role of business
intelligence integration, exploring how NLIs enhance data visualization and real-time analytics
capabilities. Examination of emerging technologies and industry applications demonstrates how NLIs are
evolving to meet complex enterprise requirements while simultaneously lowering the technical barriers to
sophisticated data analysis, ultimately driving innovation in decision-making processes across various
sectors.
Keywords Keywords: Natural Language Interfaces (NLI), Data Exploration Analytics, Semantic Query Processing, Enterprise Data Integration, Language Model Applications.
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-27
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.33980
Short DOI https://doi.org/g82gg5

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