Data Management Analytics And Innovation
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Author | : Neha Sharma |
Publisher | : Springer Nature |
Total Pages | : 727 |
Release | : 2019-10-24 |
Genre | : Technology & Engineering |
ISBN | : 9813299495 |
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author | : Neha Sharma |
Publisher | : Springer Nature |
Total Pages | : 454 |
Release | : 2020-09-18 |
Genre | : Technology & Engineering |
ISBN | : 9811556199 |
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author | : Neha Sharma |
Publisher | : Springer Nature |
Total Pages | : 530 |
Release | : 2021-09-19 |
Genre | : Technology & Engineering |
ISBN | : 9811629374 |
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author | : Valentina Emilia Balas |
Publisher | : Springer |
Total Pages | : 542 |
Release | : 2018-09-08 |
Genre | : Technology & Engineering |
ISBN | : 9789811312731 |
The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.
Author | : Neha Sharma |
Publisher | : Springer Nature |
Total Pages | : 494 |
Release | : 2019-09-24 |
Genre | : Technology & Engineering |
ISBN | : 9811393648 |
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author | : Valentina Emilia Balas |
Publisher | : Springer |
Total Pages | : 535 |
Release | : 2018-09-07 |
Genre | : Technology & Engineering |
ISBN | : 9811312745 |
The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.
Author | : Neha Sharma |
Publisher | : Springer Nature |
Total Pages | : 459 |
Release | : |
Genre | : |
ISBN | : 981973245X |
Author | : Neha Sharma |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2021-08-05 |
Genre | : Technology & Engineering |
ISBN | : 9789811629334 |
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author | : Neha Sharma |
Publisher | : Springer Nature |
Total Pages | : 476 |
Release | : 2020-08-18 |
Genre | : Technology & Engineering |
ISBN | : 9811556164 |
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author | : Nachiappan Subramanian |
Publisher | : World Scientific |
Total Pages | : 324 |
Release | : 2023-02-24 |
Genre | : Technology & Engineering |
ISBN | : 178634999X |
Innovation analytics is an emerging paradigm that integrates information/knowledge, analytics, digital twins and artificial intelligence to support and manage the entire lifecycle of a product and process from inception, through engineering design and manufacture, to service and disposal of manufactured products. Innovation analytics is set to become an integral part of the innovation lifecycle to help make smart, agile decisions and accelerate business growth.Innovation Analytics: Tools for Competitive Advantage provides a comprehensive overview of the challenges and opportunities behind the latest research surrounding technological advances driving innovation analytics; the transition of analytical ideas to interdisciplinary teams; the development of deep synchronicity of skills and production innovation; and the use of innovation analytics in multiple stages of product and process evolution.In exploring the impact of emerging developments in the current climate, researchers and academics will be able to gain insight into real-world usage of analytics for innovation and its contribution toward society. As such, students, scientists, engineers, academics, and management professionals alike will find this title beneficial.