Generative AI Applications and Intelligent Systems: From Chatbots to Cybersecurity - Tapa blanda

 
9798337380124: Generative AI Applications and Intelligent Systems: From Chatbots to Cybersecurity

Sinopsis

Generative AI and intelligent systems transform technology, reshaping how humans interact with machines and how data-driven decisions are made. From chatbots that enhance customer engagement to advanced cybersecurity systems that detect digital threats, these innovations demonstrate the versatility of AI. By combining machine learning, natural language processing, and autonomous processes, generative AI enables systems to analyze information and create, adapt, and respond intelligently. As these technologies evolve, they also raise important questions about ethics, security, and the future of human machine collaboration in a connected world. Generative AI Applications and Intelligent Systems: From Chatbots to Cybersecurity explores how generative AI and intelligent systems revolutionize fields like communication, automation, and cybersecurity. It examines the development, applications, and ethical implications of AI technologies that generate content, make decisions, and enhance digital security. This book covers topics such as computer engineering, security and privacy, and data science, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists.

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Acerca de los autores

Bahaa Eddine Elbaghazaoui is a professor at ENSA Beni Mellal and a PhD holder in Computer Science and Artificial Intelligence. With extensive experience in software engineering, he specializes in full-stack development, microservices, AI integration, and cloud computing. As a project manager and trainer, he has led and contributed to innovative solutions in telecommunications, insurance, and government sectors. His research focuses on data profiling and predictive analytics, with numerous publications in high-impact journals. Passionate about technology and education, he actively mentors, reviews scientific work, and advances cutting-edge software solutions.

Mohamed Amnai is a Full Professor at the Faculty of Sciences, Ibn Tofail University, specializing in Computer Science and Telecommunications. With a Ph.D. in Quality of Service Management and Mobility Control in Ad Hoc Networks, his expertise spans big data, AI-driven decision support systems, machine learning, and network security. Dr. Amnai has contributed extensively to academia as a researcher, supervisor, and journal reviewer, with numerous publications in high-impact journals and conferences. His work focuses on advancing AI applications in data profiling, recommendation systems, and network optimization.

Noreddine Gherabi is an Full Professor of Computer Science at ENSA Khouribga, Sultan Moulay Slimane University. With a Ph.D. in Database Migration and Semantic Web, he specializes in data science, artificial intelligence, semantic technologies, and cybersecurity. He has led significant research on machine learning, recommendation systems, and big data integration, contributing to high-impact publications, books, and conferences. Dr. Gherabi is actively involved in academic leadership, Ph.D. supervision, and scientific committees worldwide.

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