Maurizio
Gabbrielli
Italy Full Professor of Informatics University of Bologna Core Faculty
Maurizio Gabbrielli is a professor of Computer Science and Head of the Department of Computer Science and Engineering at the University of Bologna. He is also the Director of the Professional Master in Artificial Intelligence and Innovation Management and of the Executive Master in Artificial Intelligence for Business at the Bologna Business School, a member of the FOCUS research team at INRIA and scientific head of the “Foundations of AI” unit of the ALMA-AI interdepartmental center. He is also the Associate Dean for AI and Digital Soul. 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 the 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; a 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 a 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 AnalyticsArtificial Intelligence and Innovation Management
Finance and Fintech
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.
The course includes 3 half-day meetings and it deals with crucial topics for today’s businesses: the first meeting aims at introducing the concept of Digital Transformation and at illustrating the current scenario; the second meeting focuses more specifically on Industry 4.0 and its features; whilst the final meeting revolves around Cybersecurity.
Technology and InnovationThe course will provide an introductory overview of the various existing AI techniques, putting them into an historical context
which is essential to understand how we arrived to the recent sensational exploit of AI applications and what can we expect from the near future. We will discuss industrial applications with their opportunities and challenges, touching also on some social, economic and ethic implications which will be deepened in other courses. A specific focus will be on the interaction between AI and robotics, given the relevance of artificial intelligence applications for manufacturing and industrial automation.
Artificial Intelligence for Business
