This thesis delves into an investigation centered on the deployment of an online knowledge management tool within the Laboratorio di Storia Orale (Oral History Laboratory) at the University of Padova. The primary aim of this research is to conceptualize and implement a proficient tool dedicated to archiving and facil- itating public access to diverse media formats, including audio and video. In pursuit of this objective, the study capitalizes on the integration of artificial intel- ligence (AI) through a hybrid deployment approach. By harnessing the capabilities of hybrid deployment, which combines on- premises and cloud-based solutions, the research endeavors to optimize the tool’s functionality and efficiency. The utilization of AI-driven technologies further en- hances the tool’s capabilities, fostering improved archiving, retrieval, and acces- sibility of multimedia content. The findings of this research shed light on the ad- vantages and potential afforded by a hybrid development strategy in the realm of knowledge management tools, particularly when coupled with AI augmentation. In addition to providing insights into the practical applications of hybrid de- ployment, this thesis contributes valuable knowledge to the existing academic discourse surrounding knowledge management tools. The exploration of the implementation within the context of the Laboratorio di Storia Orale not only ad- dresses the specific needs of this oral history repository but also offers broader im- plications for similar initiatives seeking efficient and advanced knowledge man- agement solutions. Keywords encompassing the research scope include knowl- edge management tools, AWS (Amazon Web Services), and hybrid deployment.

This thesis delves into an investigation centered on the deployment of an online knowledge management tool within the Laboratorio di Storia Orale (Oral History Laboratory) at the University of Padova. The primary aim of this research is to conceptualize and implement a proficient tool dedicated to archiving and facil- itating public access to diverse media formats, including audio and video. In pursuit of this objective, the study capitalizes on the integration of artificial intel- ligence (AI) through a hybrid deployment approach. By harnessing the capabilities of hybrid deployment, which combines on- premises and cloud-based solutions, the research endeavors to optimize the tool’s functionality and efficiency. The utilization of AI-driven technologies further en- hances the tool’s capabilities, fostering improved archiving, retrieval, and acces- sibility of multimedia content. The findings of this research shed light on the ad- vantages and potential afforded by a hybrid development strategy in the realm of knowledge management tools, particularly when coupled with AI augmentation. In addition to providing insights into the practical applications of hybrid de- ployment, this thesis contributes valuable knowledge to the existing academic discourse surrounding knowledge management tools. The exploration of the implementation within the context of the Laboratorio di Storia Orale not only ad- dresses the specific needs of this oral history repository but also offers broader im- plications for similar initiatives seeking efficient and advanced knowledge man- agement solutions. Keywords encompassing the research scope include knowl- edge management tools, AWS (Amazon Web Services), and hybrid deployment.

SYNERGIZING COULD AND ON-PROMISES: A KNOWLEDGE MANAGEMENT TOOL FOR LABORATORIO DI STORIA ORALE

LATIFI, MOHAMMAD
2023/2024

Abstract

This thesis delves into an investigation centered on the deployment of an online knowledge management tool within the Laboratorio di Storia Orale (Oral History Laboratory) at the University of Padova. The primary aim of this research is to conceptualize and implement a proficient tool dedicated to archiving and facil- itating public access to diverse media formats, including audio and video. In pursuit of this objective, the study capitalizes on the integration of artificial intel- ligence (AI) through a hybrid deployment approach. By harnessing the capabilities of hybrid deployment, which combines on- premises and cloud-based solutions, the research endeavors to optimize the tool’s functionality and efficiency. The utilization of AI-driven technologies further en- hances the tool’s capabilities, fostering improved archiving, retrieval, and acces- sibility of multimedia content. The findings of this research shed light on the ad- vantages and potential afforded by a hybrid development strategy in the realm of knowledge management tools, particularly when coupled with AI augmentation. In addition to providing insights into the practical applications of hybrid de- ployment, this thesis contributes valuable knowledge to the existing academic discourse surrounding knowledge management tools. The exploration of the implementation within the context of the Laboratorio di Storia Orale not only ad- dresses the specific needs of this oral history repository but also offers broader im- plications for similar initiatives seeking efficient and advanced knowledge man- agement solutions. Keywords encompassing the research scope include knowl- edge management tools, AWS (Amazon Web Services), and hybrid deployment.
2023
SYNERGIZING COULD AND ON-PROMISES: A KNOWLEDGE MANAGEMENT TOOL FOR LABORATORIO DI STORIA ORALE
This thesis delves into an investigation centered on the deployment of an online knowledge management tool within the Laboratorio di Storia Orale (Oral History Laboratory) at the University of Padova. The primary aim of this research is to conceptualize and implement a proficient tool dedicated to archiving and facil- itating public access to diverse media formats, including audio and video. In pursuit of this objective, the study capitalizes on the integration of artificial intel- ligence (AI) through a hybrid deployment approach. By harnessing the capabilities of hybrid deployment, which combines on- premises and cloud-based solutions, the research endeavors to optimize the tool’s functionality and efficiency. The utilization of AI-driven technologies further en- hances the tool’s capabilities, fostering improved archiving, retrieval, and acces- sibility of multimedia content. The findings of this research shed light on the ad- vantages and potential afforded by a hybrid development strategy in the realm of knowledge management tools, particularly when coupled with AI augmentation. In addition to providing insights into the practical applications of hybrid de- ployment, this thesis contributes valuable knowledge to the existing academic discourse surrounding knowledge management tools. The exploration of the implementation within the context of the Laboratorio di Storia Orale not only ad- dresses the specific needs of this oral history repository but also offers broader im- plications for similar initiatives seeking efficient and advanced knowledge man- agement solutions. Keywords encompassing the research scope include knowl- edge management tools, AWS (Amazon Web Services), and hybrid deployment.
KNOWLEDGE MANAGEMENT
LABORATORIO DI STORI
COULD AND ON-PROMISE
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/62079