Data Centric Artificial Intelligence For Multidisciplinary Applications

Author : Parikshit N Mahalle,Namrata Nishant Wasatkar,Gitanjali R. Shinde
Publisher : CRC Press
Page : 309 pages
File Size : 47,6 Mb
Release : 2024-06-06
Category : Computers
ISBN : 9781040031131

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Data-Centric Artificial Intelligence for Multidisciplinary Applications by Parikshit N Mahalle,Namrata Nishant Wasatkar,Gitanjali R. Shinde Pdf

This book explores the need for a data‐centric AI approach and its application in the multidisciplinary domain, compared to a model‐centric approach. It examines the methodologies for data‐centric approaches, the use of data‐centric approaches in different domains, the need for edge AI and how it differs from cloud‐based AI. It discusses the new category of AI technology, "data‐centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‐centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. • Includes a collection of case studies with experimentation results to adhere to the practical approaches • Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways • Discusses methodologies to achieve accurate results by improving the quality of data • Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications

Author : Parikshit N. Mahalle,Gitanjali R. Shinde,Yashwant S. Ingle,Namrata N. Wasatkar
Publisher : Springer Nature
Page : 137 pages
File Size : 55,5 Mb
Release : 2023-11-11
Category : Technology & Engineering
ISBN : 9789819963539

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Data Centric Artificial Intelligence: A Beginner’s Guide by Parikshit N. Mahalle,Gitanjali R. Shinde,Yashwant S. Ingle,Namrata N. Wasatkar Pdf

This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.

Author : Chinmay Chakraborty,Jerry Chun-Wei Lin,Mamoun Alazab
Publisher : Springer Nature
Page : 383 pages
File Size : 44,9 Mb
Release : 2021-04-28
Category : Computers
ISBN : 9783030721398

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Data-Driven Mining, Learning and Analytics for Secured Smart Cities by Chinmay Chakraborty,Jerry Chun-Wei Lin,Mamoun Alazab Pdf

This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

Author : Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner
Publisher : Springer Nature
Page : 555 pages
File Size : 47,5 Mb
Release : 2022
Category : Application software
ISBN : 9783030783075

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Technologies and Applications for Big Data Value by Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner Pdf

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Author : Mina Farmanbar
Publisher : Springer Nature
Page : 489 pages
File Size : 42,5 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9789819998364

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Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications by Mina Farmanbar Pdf

Author : Hiram Ponce,Jorge Brieva,Octavio Lozada,Lourdes Martínez-Villaseñor,Ernesto Moya-Albor
Publisher : Springer
Page : 0 pages
File Size : 54,9 Mb
Release : 2024-04-28
Category : Computers
ISBN : 3031542762

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Data-Driven Innovation for Intelligent Technology by Hiram Ponce,Jorge Brieva,Octavio Lozada,Lourdes Martínez-Villaseñor,Ernesto Moya-Albor Pdf

​ 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.

Author : Alex Khang,Geeta Rana,R. K. Tailor,Vugar Abdullayev
Publisher : CRC Press
Page : 313 pages
File Size : 41,6 Mb
Release : 2023-10-09
Category : Technology & Engineering
ISBN : 9781000927740

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Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem by Alex Khang,Geeta Rana,R. K. Tailor,Vugar Abdullayev Pdf

The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem. Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare. This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.

Author : Merlo, Tereza Raquel
Publisher : IGI Global
Page : 347 pages
File Size : 48,5 Mb
Release : 2024-02-07
Category : Business & Economics
ISBN : 9798369310595

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AI and Data Analytics Applications in Organizational Management by Merlo, Tereza Raquel Pdf

Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change.

Author : Zach W. Y. Lee,Tommy K. H. Chan,Christy M. K. Cheung
Publisher : Emerald Group Publishing
Page : 189 pages
File Size : 53,9 Mb
Release : 2021-06-11
Category : Business & Economics
ISBN : 9781839098147

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Information Technology in Organisations and Societies by Zach W. Y. Lee,Tommy K. H. Chan,Christy M. K. Cheung Pdf

Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress consolidates studies on key issues and phenomena concerning the positive and negative aspects of IT use as well as prescribing future research avenues in related research.

Author : Surbhi Bhatia Khan,Suyel Namasudra,Swati Chandna,Arwa Mashat
Publisher : Elsevier
Page : 342 pages
File Size : 52,9 Mb
Release : 2023-07-22
Category : Computers
ISBN : 9780323999496

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Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era by Surbhi Bhatia Khan,Suyel Namasudra,Swati Chandna,Arwa Mashat Pdf

Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era investigates the interaction and growing interdependency of the HCI and AI fields, which are not usually addressed in traditional approaches. Chapters explore how well AI can interact with users based on linguistics and user-centered design processes, especially with the advances of AI and the hype around many applications. Other sections investigate how HCI and AI can mutually benefit from a closer association and the how the AI community can improve their usage of HCI methods like “Wizard of Oz prototyping and “Thinking aloud protocols. Moreover, HCI can further augment human capabilities using new technologies. This book demonstrates how an interdisciplinary team of HCI and AI researchers can develop extraordinary applications, such as improved education systems, smart homes, smart healthcare and map Human Computer Interaction (HCI) for a multidisciplinary field that focuses on the design of computer technology and the interaction between users and computers in different domains. Presents fundamental concepts of both HCI and AI, addressing a multidisciplinary audience of researchers and engineers working on User Centered Design (UCD), User Interface (UI) design, and User Experience (UX) design Explores a broad range of case studies from across healthcare, industry, and education Investigates multiple strategies for designing and developing intelligent user interfaces to solve real-world problems Outlines research challenges and future directions for the intersection of AI and HCI

Author : Jagdish Chand Bansal,Lance C. C. Fung,Milan Simic,Ankush Ghosh
Publisher : Unknown
Page : 0 pages
File Size : 55,6 Mb
Release : 2021
Category : Electronic
ISBN : 9813369205

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Advances in Applications of Data-Driven Computing by Jagdish Chand Bansal,Lance C. C. Fung,Milan Simic,Ankush Ghosh Pdf

This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications. Applications of Artificial intelligence (AI)-based systems play a significant role in today's software industry. The sensors data from hardware-based systems making a mammoth database, increasing day by day. Recent advances in big data generation and management have created an avenue for decision-makers to utilize these huge volumes of data for different purposes and analyses. AI-based application developers have long utilized conventional machine learning techniques to design better user interfaces and vulnerability predictions. However, with the advancement of deep learning-based and neural-based networks and algorithms, researchers are able to explore and learn more about data and their exposed relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network algorithms and techniques in many application domains, including software systems, cyber security, human activity recognition, and behavioural modelling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications. Original research and review works with model and build data-driven applications using computational algorithm are included as chapters in this book. .

Author : Jay Liebowitz
Publisher : CRC Press
Page : 242 pages
File Size : 40,9 Mb
Release : 2020-08-06
Category : Computers
ISBN : 9781000094657

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Data Analytics and AI by Jay Liebowitz Pdf

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

Author : Mahesh Chand,Vineet Jain,Puneeta Ajmera
Publisher : CRC Press
Page : 319 pages
File Size : 54,9 Mb
Release : 2023-11-22
Category : Technology & Engineering
ISBN : 9781003802396

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Data-Driven Technologies and Artificial Intelligence in Supply Chain by Mahesh Chand,Vineet Jain,Puneeta Ajmera Pdf

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies. " Emphasizes the impact of a data-driven supply chain on quality management. "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing. " Highlights the barriers to implementing artificial intelligence in small and medium enterprises. Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks. The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

Author : Makarand R. Velankar
Publisher : Springer Nature
Page : 98 pages
File Size : 42,7 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9789819704521

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Cognitive Computing for Machine Thinking by Makarand R. Velankar Pdf

Author : Anshu Singla,Sarvesh Tanwar,Pao-Ann Hsiung
Publisher : CRC Press
Page : 297 pages
File Size : 40,8 Mb
Release : 2024-07-31
Category : Computers
ISBN : 9781040088814

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Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems by Anshu Singla,Sarvesh Tanwar,Pao-Ann Hsiung Pdf

This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.