Uso de IAG en Gestión Documental para Implementación de la Agilidad Organizacional: "Estrategias de Agilidad Organizacional: Aplicación de la Inteligencia Artificial Generativa en la Gestión Documental"

The aim of this study is to enhance organizational agility through an Intelligent Document Management System (IDMS). A methodology was implemented that includes the collection and segmentation of documents to create a vector database using Generative Artificial Intelligence (GAI) and advanced language models. The results show significant improvements in efficiency and productivity, demonstrating that GAI can optimize decision-making by centralizing dispersed information and facilitating advanced semantic searches. The conclusions highlight that regulating variables, such as temperature in content generation, helps mitigate the risk of hallucinations in AI models, ensuring more accurate responses. Additionally, the case of the National Meteorological System (NMS) illustrates the applicability of this solution in accessing critical information, promoting a culture of innovation and adaptability in a constantly evolving business environment.

Publication Details

Journal
Dialnet (Universidad de la Rioja)
Published
2025-01-01
Primary Topic
Knowledge Management in Higher Education
Type
article
Field-Weighted Citation Impact
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article

Uso de IAG en Gestión Documental para Implementación de la Agilidad Organizacional: "Estrategias de Agilidad Organizacional: Aplicación de la Inteligencia Artificial Generativa en la Gestión Documental"

Dialnet (Universidad de la Rioja)
Knowledge Management in Higher Education
article

Uso de IAG en Gestión Documental para Implementación de la Agilidad Organizacional: "Estrategias de Agilidad Organizacional: Aplicación de la Inteligencia Artificial Generativa en la Gestión Documental"

article en

Abstract

The aim of this study is to enhance organizational agility through an Intelligent Document Management System (IDMS). A methodology was implemented that includes the collection and segmentation of documents to create a vector database using Generative Artificial Intelligence (GAI) and advanced language models. The results show significant improvements in efficiency and productivity, demonstrating that GAI can optimize decision-making by centralizing dispersed information and facilitating advanced semantic searches. The conclusions highlight that regulating variables, such as temperature in content generation, helps mitigate the risk of hallucinations in AI models, ensuring more accurate responses. Additionally, the case of the National Meteorological System (NMS) illustrates the applicability of this solution in accessing critical information, promoting a culture of innovation and adaptability in a constantly evolving business environment.

Dialnet (Universidad de la Rioja)
Openalex Percentile: Top 36%
Knowledge Management in Higher Education
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