AMID, TIAD and FST Beni Mellal organize the 8th edition of the International Conference on Business Intelligence CBI'23. This event is a forum for researchers, practitioners and educators to present and discus the most recent innovations, trends, experiences and issues in the field of Business Intelligence. The Conference will be held in Istanbul, Turkey. We welcome you to Istanbul city to experience the nature, history, and cultural.
KEYNOTE / INVITED SPEAKERS
Professor Harald Kitzmann:
Harald Kitzmann is a Professor at University of Tartu, Faculty of Social Sciences, Narva College, Junior Lecturer in Entrepreneurship. Value driven line and project manager with 30+ years’ experience in strategic and operational transitions, Controlling and production management of small and midsize, inter-cultural manufacturing companies across a wide range of industries. Internationally recognized for collaborative leadership style with proactive approach, and keen ability to work out and implement effective organisation-specific and (non-) traditional solutions in complex systems to solve challenges in volatile external and internal environments; capable of blending big-picture, strategic views with operational daily need considerations to ensure business viability. Along with professional activities, the focus in scientific activities is in the development of holistic and sustainable systems for production and regional areas; especially the ecological, technological, social and economic feasibility with considering interests of all stakeholders and targets in circular economic and management of flexibility. Scientific and Teaching experiences has been demonstrated to undergraduate and master level students in lectures at the Tallinn University of Technology and Moscow State Technical University (Bauman University), but also to researchers and practicing experts in presentation at conferences, seminars and workshops in European Union countries and in Russia and Ukraine.
|Talk Title: Beyond data-driven approaches in digitalized decision making|
Professor Mohamed Quafafou
|Mohamed Quafafou is a Professor of computer science at Aix-Marseille University. His main research interests are in Data Mining theory and applications. Prior to joining Aix-Marseille University at 2005, he served as Professor at Avignon University from 2002 to 2004 and as Assistant Professor at University of Nantes from 1995 to 2001. Mohamed Quafafou received his Habilitation Ph.D. in 2000 on Rough sets Theory and Data mining and a Ph.D. in Computer Science from INSA Lyon, in 1992. He received a M.Sc. in computer science from Paul Sabatier University (Toulouse), a M.Sc. in mathematics from Pau University and the B.Sc. degree in Mathematics from the Cadi Ayyad University (Marrakech). For about 30 years, he developed research on rough sets, data mining, web information extraction, etc. In partnership with France Telecom, he developed one of the first French web mining systems to discover emergent web communities. He headed the Geobs Data Analyzer project which aimed to provide a theoretical foundation for spatial data mining systems covering a large area of applications, e.g., environment, marketing, social analysis, etc. He is the head of data mining at scale research group (DANA) at LIS CNRS. He has supervised more than 20 Ph.D. thesis and more than 60 M.Sc. student research projects. He has been expert for several French National and International projects. Professor Mohamed Quafafou is a teacher at Polytech Marseille, where he leads the training of Information System and Data Science Engineering. He has also other teaching activities in M.Sc level in both Aix-Marseille University and University of Science and Technology of Hanoi. He is the head of computer science department of Polytech Marseille.|
|Talk Title: Hindrances to Computational Intelligence Development in Daily Life|
Professor Youness El Hamzaoui
Youness El Hamzaoui, a data scientist, is a full time research professor at the faculty of engineering of the Autonomous University of Carmen. Campeche State. United States of Mexico. He has a doctorate in engineering and applied sciences, is a member of the national system of researchers of the national council of science and technology, and has the desirable profile granted by the program of science and technology, has the desirable profile granted by the program for the professional development of teachers for higher education of the secretary of higher education. His research field is basically focused on complex systems modeling in particular, neural networks, genetic programming, fuzzy logic, genetic algorithms, particle swarm algorithms, evolutionary algorithms, heuristic and metaheuristic algorithms and machine learning.
|Talk Title: Machine Learning and its Application|
Professor Hamza Zidoum
Hamza Zidoum is the head of the Artificial Intelligence & Machine Learning Research Group in the Department of Computer Science, and Assistant Professor of computer science at Sultan Qaboos University. He did his PhD., and MSc. in Artificial Intelligence in the University of Franche-Comte, France. His current research interests fall in the areas of Constraint Programming, and Machine Learning with emphasis on Natural Language Processing, and Health applications. He is a member of the Association for Logic Programming (ALP). He served as Researcher in Bilkent University, Ankara, Turkey, and Monash University in Melbourne, Australia. He received an Engineering Degree in electronics from the University Farhat Abbas, Setif, Algeria. He has been an expert for the Ministry for Higher Education in Oman. He has extensive academic experience at various academic and research organizations in Europe and Asia, including UFR Sciences & Techniques, University of Franche-Comté, ENSMM École nationale supérieure de mécanique et des microtechniques, Besançon, France ; IUT Institut Universitaire de Technologie Clermont-Ferrand, France, University of UAE, Al-Ain, and University of Qatar, Doha. Outside work, he enjoys the practice of Aikido, mountaineering and rock climbing.
|Talk Title: Foundation Models: Is the Attention-powered Transformers Approach the Holy Grail of AI?|