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Módulo de pronóstico de flujo de efectivo basado en Azure OpenIA

Authors: Jovani Ojeda, Marcos;

Módulo de pronóstico de flujo de efectivo basado en Azure OpenIA

Abstract

El presente documento es la descripción detallada de la memoria del trabajo de fnal de grado realizado por el estudiante Marcos Jovani Ojeda de la Universitat Jaume I durante la estancia en prácticas en la empresa Innoqubit Software S.L.U. El objetivo principal del proyecto es desarrollar un módulo para el cálculo del pronóstico de flujo de caja de las empresas con ayuda de la inteligencia artifcial. Este desarrollo está pensado para facilitar el día a día los contables de las empresas a la hora de realizar este cálculo que es muy importante a la hora de tomar decisiones sobre cuánto y cuándo invertir el dinero en una empresa. Para llevar a cabo este proyecto se han utilizado Visual Studio Code para añadir funcionalidad al código de la herramientas de Microsoft, Business Central y conectarla con Azure OpenAI. El módulo es capaz de preparar y enviar información almacenada en Business Central al entorno de Azure OpenAI donde se entrena a la inteligencia artifcial para devolver la información sobre los flujos de caja esperados.

Treball Final de Grau en Enginyeria Informàtica. Codi: EI1054. Curs 2023-2024

Country
Spain
Related Organizations
Keywords

Grau en Enginyeria Informàtica, Bachelor's Degree in Computer Engineering, Grado en Ingeniería Informática

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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