Maurizio Gabbrielli is Professor of Computer Science since 2001 at the Department of Computer Science and Engineering of the University of Bologna, University of Bologna. He is also member of the INRIA project team FOCUS and Director of the Master in Management of Digital Technology at Bologna Business School. He received his Ph.d. in Computer Science in 1992 from the Univeristy of Pisa. He has 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.
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
The course provides a general introduction to digital culture, focusing in particular on the following topics:
Data Marketing and Analytics