Data-Driven Innovation for Intelligent Technology
Perspectives and Applications in ICT
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Focuses on new perspectives and applications of data-driven innovation technologies and Applied AI Includes theory and use cases to help readers understand the basics of data-driven innovation Emphasizes how the data lifecycle is applied in current technologies in different business domains and industries
Autor*in
Hiram Ponce
Themen in »Data-Driven Innovation for Intelligent Technology«
Data Science for Industry Artificial Intelligence for Industry Technology Trends Machine Learning for Industry Machine Learning Applications Data Science in Latin America Applied Artificial Intelligence Data-driven Innovation Business Innovation Technology Industries Challenges and Trends in Machine Learning Challenges and Trends in Artificial Intelligence Computational Intelligence in Data-driven Innovation