LEVERAGING GENERATIVE AI FOR ENHANCED ENTERPRISE KNOWLEDGE RETRIEVAL: A TECHNICAL DEEP DIVE

As organizations grapple with fragmented data across Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP), and Customer RelationshipManagement (CRM) systems, the need for efficient knowledge retrieval becomes

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Journal
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Published
2025-02-10
DOI
https://doi.org/10.34218/ijcet_16_01_172
Primary Topic
Big Data and Business Intelligence
Type
article
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0.00
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article

LEVERAGING GENERATIVE AI FOR ENHANCED ENTERPRISE KNOWLEDGE RETRIEVAL: A TECHNICAL DEEP DIVE

Nishant Kapoor
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Big Data and Business Intelligence
article

LEVERAGING GENERATIVE AI FOR ENHANCED ENTERPRISE KNOWLEDGE RETRIEVAL: A TECHNICAL DEEP DIVE

Nishant Kapoor
article en

Abstract

As organizations grapple with fragmented data across Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP), and Customer RelationshipManagement (CRM) systems, the need for efficient knowledge retrieval becomes

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGYVol. 16(1)
Capgemini (Netherlands) (NL), Capgemini (United States) (US)
Openalex Percentile: Top 97%
Big Data and Business Intelligence
DOIOpen Access PDFOpenAlex
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LEVERAGING GENERATIVE AI FOR ENHANCED ENTERPRISE KNOWLEDGE RETRIEVAL: A TECHNICAL DEEP DIVE — Nishant Kapoor · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS