This encyclopedia provides crucial insights into how artificial intelligence and data science can drive profound changes in Africa, creating both opportunities and challenges. By exploring innovative financing methods to support entrepreneurs and SMEs, and demonstrating AI applications in areas like agriculture and earth monitoring, this work offers practical solutions for sustainable development across the continent. Our research not only highlights the potential of AI to address critical issues like soil aridity but also emphasizes the importance of equitable and ethical implementation of these technologies in the African context.
– Jean-Eric Pelet
Artificial intelligence and machine learning aren't just tools; they're the catalysts transforming data into insights, challenges into opportunities, and innovation into reality. My publication in the field of AI and ML underscores the critical advancements these technologies bring to data analysis, decision-making, and automation. By exploring innovative algorithms and practical applications, I contribute to the broader understanding and adoption of AI and ML, driving progress and efficiency across various industries.
– Hamed Taherdoost
Finance and insurance in particular are going through a digital transformation with the new capabilities of AI and other technologies but the final destination of this journey is not clear. This research offers some clarity with five models optimized for AI.
– Alex Zarifis
Research work on "Customer Analytics: Deep Dive into Customer Data" is essential for uncovering insights into customer behavior and preferences. This work supports personalized marketing strategies, enhances customer experiences, and guides data-driven business decisions, ultimately driving customer satisfaction and loyalty. Additionally, it helps in identifying emerging trends and potential market opportunities, ensuring businesses stay competitive and innovative.
– Devesh Bathla
This study presents an effective approach for addressing the imbalance issue in bankruptcy prediction models. Our method demonstrates favorable performance compared to existing approaches in the literature.
– Son Nguyen
Recommender systems are becoming essential in many industries and, hence, have received more attention in recent years. Recommender systems are usually used to manage massive amounts of data and knowledge. Recommender Systems explore users’ preferences to supply them with items that best meet their needs.
– Houda El Bouhissi
Maritime trade does not exist in a world in equilibrium. Our work explores how the stochastic stocks of pandemic, tariffs, exchange rates, and unemployment affect the volume, composition, and frequency of trade. We hope that it serves as a platform for future exploration.
– Peter Abraldes