Prof. Imane SATAURI
Management And Digitalization, National school of business and Management, Fès al Bali, Morocco
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Academic Career Length
2Years (2025-Present)
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Conference Paper
ZHZeineb EL HAMMOUMI
Zeineb EL HAMMOUMIDTDounia Tebr
Dounia TebrYCYoussef Charkaoui
Youssef CharkaouiImane SATAURIOBOmar El Beqqali
Omar El BeqqaliSince increasing attention has been given to predictive maintenance (PdM) of industrial equipment, in order to enhance operational efficiency, improve reliability, and reduce downtime, this powerful strategy offers significant benefits, holds clearly great promises, and is now regarded as a key for future perspective in Industry 4.0. There are various approaches to PdM, each offering its own set of advantages and disadvantages which are single and hybrid approaches to carrying out diagnostics and prognostics in PdM. In this paper we will compare these approaches according to different aspects such as complexity of data and interpretability of results. Moreover, we also discuss the barriers to successful adoption, such as data quality, system complexity, and the need for workforce training. Finally, this paper concludes by identifying future research directions in response to scientific problems, which will drive the next wave of innovation in predictive maintenance solutions.
Conference Paper
YCYoussef Charkaoui
Youssef CharkaouiDTDounia Tebr
Dounia TebrZHZeineb EL HAMMOUMI
Zeineb EL HAMMOUMIImane SATAURIOBOmar El Beqqali
Omar El BeqqaliIn this age of consumerism, most companies are doing their utmost to convince their customers of their products and to attract new customers. The IT development we see today is a perfect solution for strengthening the relationship between companies and their customers, giving them the opportunity to expand their customer base. The Internet of Things refers to an inter-connected system of smart devices that communicate and exchange data and big data analytics over the internet. As this involves the process of the treating data to unlock hidden information, patterns, and insights, the combination of both tools creates a revolution in customer relations and gives us the opportunity to understand our customers’ needs before they do themselves. This article presents an exploratory literature review of studies analyzing the relationship between IOT and big data in marketing. It provides a deep analysis of various scholars’ works that examine the methodology used by these tools to reinforce customer relations and acquire new ones. This review provides an overview of the most interesting research on this topic and the methods and techniques employed as well as an analysis of the obstacles and challenges involved. The results of this research show that IOT and big data analytics are key factors for an efficient analysis of clients’ needs.
About Me
researcher and lecturer in computer science, specializing in Artificial Intelligence (AI) and Data Science. She holds a State Doctorate in Decision-Making Computer Science from Sidi Mohammed Ben Abdellah University in Fez and is also a State Engineer from the National Higher School of Computer Science and Systems Analysis at Mohammed V University in Rabat. She began her academic career as an Assistant Professor specializing in Big Data at the National Higher School of Arts and Crafts of Hassan II University in Casablanca. She is currently a Senior Lecturer at the National School of Business and Management (ENCG) in Fez,within the Department of Management and Digitalization. She teaches and coordinates several courses on modern and critical topics in the digital field, including: "Big Data in Digital Marketing", "AI Applied to Logistics", "Business Intelligence", "Managing Information Systems", "Database Management and Data Science" and "Artificial Intelligence". Her career is driven by a constant commitment to advancing research and education in the emerging fields of AI and Data Science. Her research primarily focuses on the application of new technologies in smart factories and the use of blockchain for supply chain management. Additionally, she explores the potential of Big Data in digital marketing, aiming to develop innovative and efficient solutions for information systems management and the digital