Data-Driven Innovation for Intelligent Technology
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.
| ISBN: | 9783031542763 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 246 |
| Produktart: | Gebunden |
| Herausgeber: | Brieva, Jorge Lozada-Flores, Octavio Martínez-Villaseñor, Lourdes Moya-Albor, Ernesto Ponce, Hiram |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 17.04.2024 |
| Untertitel: | Perspectives and Applications in ICT |
| Schlagworte: | Applied Artificial Intelligence Artificial Intelligence for Industry Business Innovation Data-driven Innovation Data Science for Industry Data Science in Latin America Machine Learning Applications Machine Learning for Industry Technology Industries Technology Trends |