Data Driven Innovation For Intelligent Technology
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Data Driven Innovation For Intelligent Technology
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Author : Hiram Ponce
language : en
Publisher: Springer Nature
Release Date : 2024-04-16
Data Driven Innovation For Intelligent Technology written by Hiram Ponce and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-16 with Computers categories.
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.
Data Science And Innovations For Intelligent Systems
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Author : Kavita Taneja
language : en
Publisher: CRC Press
Release Date : 2021-09-30
Data Science And Innovations For Intelligent Systems written by Kavita Taneja and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Computers categories.
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
Digital Transformation Artificial Intelligence And Society
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Author : Sachin Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-08-18
Digital Transformation Artificial Intelligence And Society written by Sachin Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-18 with Business & Economics categories.
This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities and challenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter. This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising from the integration of digital transformation and AI in society.
Data Driven Smart Manufacturing Technologies And Applications
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Author : Weidong Li
language : en
Publisher: Springer Nature
Release Date : 2021-02-20
Data Driven Smart Manufacturing Technologies And Applications written by Weidong Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-20 with Technology & Engineering categories.
This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.
The Big Data Driven Digital Economy Artificial And Computational Intelligence
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Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
language : en
Publisher:
Release Date : 2021
The Big Data Driven Digital Economy Artificial And Computational Intelligence written by Abdalmuttaleb M. A. Musleh Al-Sartawi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.
Distributed Computing And Intelligent Technology
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Author : Stéphane Devismes
language : en
Publisher: Springer Nature
Release Date : 2024-01-03
Distributed Computing And Intelligent Technology written by Stéphane Devismes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Computers categories.
This book constitutes the refereed proceedings of the 20th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17–20, 2024. The 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). The DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.
Optimizing Research Techniques And Learning Strategies With Digital Technologies
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Author : Basha, J. Sadhik
language : en
Publisher: IGI Global
Release Date : 2025-02-21
Optimizing Research Techniques And Learning Strategies With Digital Technologies written by Basha, J. Sadhik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.
The widespread integration of digital technologies to improve research methodology and educational experiences heralds a transformative period in learning and education known as the Digital Renaissance. This era marks a break from conventional approaches to education and research, embracing digital technologies and platforms to completely transform the creation, sharing, and access of knowledge. The main goal of the Digital Renaissance's enhanced learning strategies is to transform education by using digital tools and technologies to give students individualized, dynamic, and exciting learning opportunities. The convergence of technology and education is becoming more and more important as societies learn to handle the challenges of the digital age. Optimizing Research Techniques and Learning Strategies With Digital Technologies focuses on improving learning strategies, making learning strategies more accessible, and advancing academic pursuits in a variety of fields. It emphasizes pushing boundaries in the pursuit of knowledge and discovery while stressing the significance of using technology in research and teaching in an ethical and responsible manner. Covering topics such as competency development, educational leadership, and economic growth, this book is an excellent resource for teachers, curriculum developers, education administrators, corporate trainers, technologists, professionals, researchers, scholars, academicians, and more.
The Role Of Artificial Intelligence In Advancing Applied Life Sciences
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Author : Emara, Tamer
language : en
Publisher: IGI Global
Release Date : 2025-04-29
The Role Of Artificial Intelligence In Advancing Applied Life Sciences written by Emara, Tamer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Science categories.
The transformative role of artificial intelligence (AI) is revolutionizing the life sciences sector. AI is being used to accelerate drug discovery, personalize treatments, and improve patient outcomes. AI has demonstrated its potential in optimizing crop yields, enhancing food safety, and addressing global food security challenges. Additionally, AI has applications in climate modeling, species conservation, and pollution monitoring. Discussion of AI implementation in life sciences may stimulate further research and development in AI-driven life science solutions. The Role of Artificial Intelligence in Advancing Applied Life Sciences equips readers with a solid understanding of technology's potential to address complex life science problems. It also discusses the ethical implications and challenges associated with AI implementation in this field. Covering topics such as biomanufacturing, disease identification, and climate change patters, this book is an excellent resource for life scientists, computer scientists, healthcare practitioners, environmentalists, agriculturalists, professionals, researchers, scholars, academicians, and more.
Data Driven Business Intelligence Systems For Socio Technical Organizations
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Author : Keikhosrokiani, Pantea
language : en
Publisher: IGI Global
Release Date : 2024-04-09
Data Driven Business Intelligence Systems For Socio Technical Organizations written by Keikhosrokiani, Pantea and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Business & Economics categories.
The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.
Big Data Analytics And Artificial Intelligence Against Covid 19 Innovation Vision And Approach
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Author : Aboul-Ella Hassanien
language : en
Publisher: Springer
Release Date : 2020-10-13
Big Data Analytics And Artificial Intelligence Against Covid 19 Innovation Vision And Approach written by Aboul-Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with Computers categories.
This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.