Head of R&D Extended Faculty

Andrea Belli got his Master ‘s degree in Telecommunications, Economics at Politecnico di Torino and is actually Director R&D Technology at Expert System in Modena, with more than 10 years experience in driving R&D and product management activities. He works in multicultural and cross-functional environments, within France, UK and USA technical teams creating the top-notch AI technology for fitting customer real needs.

He has worked as a Researcher and Technologist on software, Internet, digital media at Telecom Italia S.p.A.

He is Contract Professor of Text Mining classes for 2018/2019 academic year at Università Cattolica del Sacro Cuore in Milan.


The course get the focus on the relevance that Artificial Intelligence software have in the development of strategic companies activities like customer care, processes automation and information management. Lessons give an overview on how Industry 4.0 companies may use Artificial Intelligence for their businesses, covering a wide range of tasks in Natural Language Processing such as sentiment analysis, topic classification and dialogue systems.

Artificial Intelligence and Innovation Management
Finance and Fintech

With this course, the candidates will understand Large Language Models, delving into the fundamentals of large language models, with reference to prominent language models such as GPT-3, BERT, and more. Will be offered an overview about LLM-based applications and their industry relevance, exploring diverse real-world applications of large language models across industries such as insurance, life science, finance, customer service, content generation, and more. They will navigate the Technological Landscape, through the assessment the current state-of-the-art and ongoing advancements in the field of large language models, learning about the available models, platforms, and providers to make informed decisions about integration and implementation. Will gain insights into the challenges and best practices associated with adopting large language models in business processes, identify potential roadblocks and develop effective strategies for successful integration. And finally will explore emerging trends and future developments in the realm of language models and artificial intelligence.

Artificial Intelligence for Business