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Data-Driven Innovation for Intelligent Technology

Perspectives and Applications in ICT

Hiram Ponce (Hrsg.), Jorge Brieva (Hrsg.), Octavio Lozada-Flores (Hrsg.), Ernesto Moya-Albor (Hrsg.), Lourdes Martínez-Villaseñor (Hrsg.)

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ca. 181,89 €
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Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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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.

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181,89 €

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Schlagwörter

Business Innovation, Data Science in Latin America, Data Science for Industry, Technology Industries, Artificial Intelligence for Industry, Challenges and Trends in Machine Learning, Machine Learning for Industry, Computational Intelligence in Data-driven Innovation, Technology Trends, Data-driven Innovation, Machine Learning Applications, Challenges and Trends in Artificial Intelligence, Applied Artificial Intelligence