Eunika Mercier-Laurent – författare

The capacity to innovate is a fundamental resource for organizations as well as the true wealth of a society. To contribute fully to the prosperity of an organization, region or country, the innovation process - which is not only technology-based - requires the implementation of knowledge dynamics between domains that are often treated in isolation. This dynamic is based on a synergy between humans and intelligent machines.

For several years, innovation has been omnipresent and part of strategic matters. The word "innovation" is in the headlines of reports, articles and business media, and is also the subject of events, projects, think tanks, clubs and blogs. Several forums on social networks are devoted to its various facets. It is a global phenomenon.

This book introduces the concept of "e-co-innovation" which brings a better understanding of the successful transition from idea to reality and ultimate value. The motivation behind this book is to introduce a global and system overview of the subject, to present the various aspects of innovation from different angles and perspectives to finally bring the reader to an understanding of all ecosystem components, their metamorphoses, cross-influences and possible impacts on the balanced development of people, businesses, regions and countries.

The capacity to innovate is a fundamental resource for organizations as well as the true wealth of a society. To contribute fully to the prosperity of an organization, region or country, the innovation process - which is not only technology-based - requires the implementation of knowledge dynamics between domains that are often treated in isolation. This dynamic is based on a synergy between humans and intelligent machines.

For several years, innovation has been omnipresent and part of strategic matters. The word "innovation" is in the headlines of reports, articles and business media, and is also the subject of events, projects, think tanks, clubs and blogs. Several forums on social networks are devoted to its various facets. It is a global phenomenon.

This book introduces the concept of "e-co-innovation" which brings a better understanding of the successful transition from idea to reality and ultimate value. The motivation behind this book is to introduce a global and system overview of the subject, to present the various aspects of innovation from different angles and perspectives to finally bring the reader to an understanding of all ecosystem components, their metamorphoses, cross-influences and possible impacts on the balanced development of people, businesses, regions and countries.

This book addresses those involved in research or R&D. It introduces the principles of eco-innovation and the importance of the impact of their activity. This topic is considered in the context of natural and digital ecosystems powered by intelligent assistants (technology). Chapter 1 positions the innovation as a process and component of ecosystems including research, enterprises, technology (digitalecosystems) and environment. Sustainable success is a condition of survival and an expectation of those who invest in innovation. Chapter 2 describes the main elements to consider and gives some tips. Chapter 3 presents some selected initiatives at the national and European level and provides a way of measuring success.

This book addresses those involved in research or R&D. It introduces the principles of eco-innovation and the importance of the impact of their activity. This topic is considered in the context of natural and digital ecosystems powered by intelligent assistants (technology). Chapter 1 positions the innovation as a process and component of ecosystems including research, enterprises, technology (digitalecosystems) and environment. Sustainable success is a condition of survival and an expectation of those who invest in innovation. Chapter 2 describes the main elements to consider and gives some tips. Chapter 3 presents some selected initiatives at the national and European level and provides a way of measuring success.

In a world of increasing population, this book explores the ways in which technological progress can provide smart energy management strategies to maximize resources.Energy is essential to the survival and development of mankind. Increased pressure on existing resources now requires wiser energy management, in addition to the discovery of new resources. Challenges such as the global trend of "cheaper�, exponentially increasing demand in new geographies, and current climate change policies now call for new approaches and ways of thinking about energy use which consider the impact on all involved actors, and on nature. Energy generation and management can be made more efficient by making use of technological progress and sharing global experience in the smart use of this resource. This book presents a knowledge-based review of the past, present and future of energy usage, with mathematical, modeling, economic, technological and environmental perspectives. The ideas and experiences shared here propose wiser energy management as a system component of natural ecosystems.

The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.

The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management.

*The workshop was held virtually.

This book constitutes the refereed proceedings of the 7th International Conference on Computer, Communication, and Signal Processing, ICCCSP 2023, held in Chennai, India, during January 4–6, 2023, in hybrid mode.

The 17 full and 9 short papers presented in this volume were carefully reviewed and selected from 123 submissions. The papers are categorized into topical sections: artificial intelligence in health care; machine learning and deep learning; signal processing; and Internet of Things for smart systems.