La tesi vuole svolgere un'analisi della struttura dati delle aziende, con annessa spiegazione di processi, immagazzinamento dati e analisi. Inoltre tratterà un caso pratico di passaggio da un tool di Business Intellingence ...

Digital transformation and Industry 4.0 have recently gained a foothold, especially in large corporations. The process typically happens through adopting an innovative business model or completely disrupting the traditional ...

Digital innovation has become increasingly important for firms that want to retain or develop competitive advantage. One of the main drivers of digital transformation has been recognized to be Artificial Intelligence (AI). ...

Le reti neurali sono potenti approssimatori universali che guidano il campo dell'Intelligenza Artificiale, stabilendo nuovi standard in varie applicazioni. Tuttavia, la tendenza all'overfitting e l'incapacità di modellare ...

Since the late 1970s, academia has pioneered a radical new approach to the study of the strategies and decision-making processes of economic agents, introducing behavioral variables into the models before eventually rejecting ...

Data-driven innovation and decision making have proven to be fundamental tools for companies, especially in the last decades. Many progresses have been made in this area, especially in trying to improve accuracy and data ...

The aim of this thesis is to explore the potential of a Deep Reinforcement Learning approach to the Portfolio Optimization problem. Four different types of Reinforcement Learning algorithms – Advantage Actor-Critic (A2C), ...

In recent decades, technological innovation has contributed exponentially to facilitating the production, management, enhancement, dissemination, and reuse of everything connected to the knowledge available to a company. ...

The market's integrity and investor confidence are being threatened by the growth of pump and dump (P&D) operations in the cryptocurrency market. This research seeks to explore the motivations, strategies and effects of ...