Multi-sectoral AI: Current Provisions and Future Directions

• Mohammed Sadgal: Cadi Ayyad University, Marrakech, Morocco.
  Email: sadgal@hotmail.com

• Youssef Mourdi: Cadi Ayyad University, Marrakech, Morocco.
  Email: y.mourdi@uca.ac.ma

• Hasna Elalaoui Elabdellaoui: Cadi Ayyad University, Marrakech, Morocco.
  Email: h.elalaoui@uca.ac.ma

• Hanane Allioui: Ibn Tofail University, Kenitra, Morocco.
  Email: hanane.allioui@uit.ac.ma

• Azzeddine ALLIOUI, ESCA Ecole de Management, Casablanca, Morocco
• Hamada ElKabtane, ENSA Marrakech, Cadi Ayyad University, Marrakech, Morocco
• MAZIN ABED MOHAMMED, University of Duesto, Bilbao, Spain
• Er-Rouidi Mohamed, Cadi Ayyad University, Safi, Morocco
• Jihad Zahi, Cadi Ayyad University, Morocco
• Houda Kaa, Ibn Tofail University, Kenitra, Morocco
• Houda Moudni, Soltane Moulay Slimane University, Beni Mellal
• Kenza EL BADIA, ESCA Ecole de Management, Casablanca, Morocco
• Dimitrios Buhalis, Bournemouth University, England, United kingdom
• Bendarag Abdessadik, Cadi Ayyad University, Morocco
• Mohamed BERAICH, Université Ibn Tofail, Kenitra, Morocco
• Qaffou Issam, Cadi Ayyad University, Marrakech, Morocco
• Mostafa Elokaby, University of Cairo, Egypt
• Mjahed Soukaina, Cadi Ayyad University, Marrakech, Morocco
• Saif Islam Bouderba, Cadi Ayyad University, Safi, Morocco
• Alioua Nawal, Cadi Ayyad University, Safi, Morocco

Artificial Intelligence (AI) is today positioned as a major lever of transformation across various sectors. This special session will look at multi-sector applications of AI, exploring how it is revolutionizing key areas such as healthcare, education, industry and others.

This special session aimed at fostering collaborative dialogues and partnerships among pivotal interdisciplinary stakeholders. Under the global theme of the 4th International Conference on Advances in Communication Technology and Computer Engineering, the following tracks offer diverse areas of interest to researchers:

• Exploring innovations in healthcare: Fairness, innovation, diversity and interdisciplinary collaboration: Analyzing the impact of AI in personalized medicine, early diagnosis, and predictive healthcare. Discover how AI improves clinical outcomes and optimizes medical processes.
• Redefining Education: Understand how AI personalizes learning, improves student engagement, and facilitates academic management. Examine real-world cases where AI is transforming teaching methods and educational environments.
• Promoting inclusive environmental action through equity, diversity, and cross-cultural collaboration: Discover how AI contributes to the sustainable management of natural resources, and environmental monitoring. Study the applications of AI in the preservation of biodiversity and the fight against climate change.
• Improving Road Safety: Exploring autonomous driving systems, collision avoidance technologies, and intelligent traffic management. Analyze how AI can reduce accidents and improve road safety.
• Industrial Evolution: Evaluating AI in industrial automation, predictive maintenance, and supply chain management. Illustrate how AI increases efficiency, reduces costs, and creates safer work environments.
• AI in Emerging Economies: Analysis of how AI and digital advents can impact emerging economies into global value chains. Research on effective AI frameworks that encourage sustainable business practices and sustainable stewardship in emerging economies. Studies on innovative AI in financing mechanisms.
• Elevating Consumer Engagement and Sustainable Lifestyles with AI and Marketing 4.0: AI Studies on consumer attitudes, perceptions, and behaviors towards sustainability and how AI-based strategies can influence positive change.

Topics to be discussed in this special session include (but are not limited to) the following:

• Fundamentals and Applied Technologies of Artificial Intelligence
• Strategic IoT and machine learning based solutions
• Preventive Medicine, Public Health and Smart Healthcare
• AI based Strategies for Infectious Disease Management
• Education Data Analysis
• E-learning and Artificial Intelligence
•  AI-Powered Educational Games
• Water Resources management and Smart Agriculture
• Autonomous Driving Systems and Accident Reduction
• Intelligent Transportation Systems
• Environmental Monitoring and Change Forecasting using machine learning
• IA and Sustainable Development
• Optimization of natural resources management
• AI and Industry 4.0
• AI in Additive Manufacturing
• AI in Innovation, Entrepreneurship, and Management
•  Capabilities, risks and benefits related to using AI
• Advanced Financial Analytics And Risk Management
• Future Trends In Financial Technology

Researchers and practitioners are invited to submit papers for this special theme session on Multi-sectoral AI: Current Provisions and Future Directions on or before September 10^th, 2024 (Extended Deadline).

All submissions must be original and may not be under review by another publication.

All papers should be submitted

electronically through the easychair submission system as mentioned below:

The paper prior to submission should be checked for plagiarism from licensed plagiarism softwares like Turnitin/iAuthenticate etc. The similarity content should not exceed 20%.

INTERESTED AUTHORS SHOULD CONSULT THE CONFERENCE’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at https://icactce-conf.com/call-for-papers-2/.

All submitted papers will be reviewed on a double-blind, peer review basis.

All the accepted papers (after double blinded peer review) will be published within the ICACTCE’24 Proceedings (SCOPUS Indexed).

NOTE: While submitting paper in this special session, please specify Multi-sectoral AI: Current Provisions and Future Directions at the top (above paper title) of the first page of your paper.