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ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-03242025-210921


Tipo di tesi
Tesi di laurea magistrale
Autore
VECCHI, DAVIDE
URN
etd-03242025-210921
Titolo
On-Premises Large Language Models: safeguarding privacy during classification and privacy violation detection.
Dipartimento
INFORMATICA
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Relatori
relatore Prof. Ghelli, Giorgio
Parole chiave
  • classification
  • DORA
  • large language models
  • local llm
  • privacy violation detection
Data inizio appello
11/04/2025
Consultabilità
Tesi non consultabile
Riassunto
The following thesis describes the feasibility study and implementation of a pilot Business Intelligence solution for a financial partner operating in the automotive industry. This operator aims to manage issue and bug tracking ticket in order to: i) route each issue to the correct technical area, ii) identify, if any, all the personal and vehicle related data entered in each ticket with the goal of tracking it and assisting management in handling it in compliance with the DORA (Digital Operational Resilience Act) regulations. It is central for the client to keep all data within the company. They wish to introduce LLM to automate different business processes and this is an opportunity to show its potential.
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