Maurizio
Gabbrielli


Gabbrielli
Full Professor of Informatics University of Bologna Core Faculty
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BIO

Maurizio Gabbrielli is professor of Computer Science and Head of the Department of Computer Science and Engineering at the University of Bologna. He is also director of the Master in Digital Technology and Innovation Management at Bologna Business School, scientific director of the scientific unit “Foundations of AI” del centro interdipartimentale ALMA-AI, member of the INRIA project team FOCUS. He has been the first director of the master degree in Artificial Intelligence at the University of Bologna. He received his Ph.d. in Computer Science in 1992 from the University of Pisa and has then been employed at CWI (Amsterdam), at the University of Pisa and at the University of Udine. He is author of more than 100 publications in the fields of programming languages and artificial intelligence and he has been Director of the European EIT Digital Doctoral School from 2015 to 2017. He has also been: president of the Italian association for Logic Programming (GULP); member of the advisory board of TPLP; member of the Executive Committee of the Association for Logic Programming; chair of the Steering Committee of the ACM conference PPDP; member of the board of the European association for Programming Languages and Systems. M. Gabbrielli is partner of italianaSoftware, a company producing technology for micro services and Cloud computing.

COURSES

Since the first mechanical automations of the 17th century, one of the great dreams of the humanity has been the construction of machines exhibiting human behaviors and intelligence. Artificial intelligence (AI) is a discipline whose goal is to realize this dream by using the most different techniques, from symbolic computation based on logic to sub-symbolic models inspired by the structure of the brain, such as neural networks.

The last few years have witnessed a sensational exploit of AI applications in many different fields – with a relevant growth of investments – inducing many experts to believe that the dream will come true in a short time.

This is inducing many companies to reconsider their business strategies and, more generally, requires a deep rethinking of several crucial aspects of our society.

The course will provide an introductory overview of the various existing AI techniques, focusing on their industrial applications, discussing future opportunities and challenges, touching also on some social, economic and ethic implications.

Data Science and Business Analytics
Digital Technology and Innovation Management
Finance and Fintech
Data Marketing and Analytics

The course provides a general introduction to digital culture, focusing in particular on the following topics:

  • Principles related to automatic data processing: birth of the concept of algorithm and studies related to its limits.
  • Application of the concepts of modeling and algorithmic processing in the context of business processes.
  • The rise of Artificial Intelligence, from Turing’s imitation game to Industry 4.0.

 

Data Marketing and Analytics