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Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT

2024 , Ponce, Hiram , Brieva, Jorge , Lozada Flores, Octavio , Martinez-Villaseñor, Lourdes , Moya-Albor, Ernesto , Hiram Ponce , Jorge Brieva , Octavio Lozada-Flores , Lourdes Martínez-Villaseñor , Ernesto Moya-Albor

This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems. ©Springer. ©The authors. ©The editors

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Enhancing STEAM in Education 4.0: A Review of Data-Driven Technological Improvements

2024-01-01 , Escobar Castillejos, David , Barrera Ánimas, Ari Yair , Lozada Flores, Octavio , Noguez, Julieta

Universities have fulfilled the role of organizations dedicated to the promotion of intellectual knowledge and the fostering of creative thinking. Educational institutions function as the central place for students to acquire specialized knowledge in their respective disciplines, while also developing competencies and beliefs that contribute to the progress of society. As technology advances, universities are facing a new revolution in the paradigms of education, which is making them adapt their established methodologies. Education 4.0 aims to improve education through cutting-edge technology and automation. Furthermore, the use of data-driven methodologies allows educators to automate the processes of assessment and evaluation, which could enhance the accuracy of comprehending educational outcomes. Universities are currently promoting the integration of analytical reasoning and creative expression using multidisciplinary techniques such as STEAM. This approach ensures that students not only acquire technical expertise, but also develop the essential skills of creativity, adaptability, and humanistic understanding that are necessary in the current job market. The objective of this chapter is to discuss the development and importance of STEAM within Education 4.0, emphasizing the potential of data-driven technologies. ©Springer