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    1. Data och IT
    2. Nätverk och kommunikation

    Data Economy in the Digital Age

    AvSamiksha Shukla,Kritica Bisht

    Häftad, Engelska, 2024

    Del i serien Data-Intensive Research

    1 662 kr

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    Beskrivning

    The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.

    Produktinformation

    • Utgivningsdatum:2024-11-14
    • Mått:155 x 235 x 9 mm
    • Vikt:230 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Data-Intensive Research
    • Antal sidor:119
    • Förlag:Springer Verlag, Singapore
    • ISBN:9789819976799

    Utforska kategorier

    • Nätverk och kommunikation inom Data och IT
    • Databaser inom Data och IT
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Dr. Samiksha Shukla is currently employed as an associate professor at the Department of Computer Science and Engineering, Christ (Deemed to be) University, Bangalore. Her research interests include Computation Security, Artificial Intelligence, Machine Learning, Data Science, and Big Data. She is a certified AWS educator. She has presented and published several research papers in reputed journals and conferences. She has co-edited data science and security books (Springer, 2020, 2021 & 2022) and also co-authored Springer Brief on Data Ethics and Challenges. She has 18 years of academic and research experience. She is a reviewer for the Inderscience Journal, Springer Nature’s International Journal of Systems Assurance Engineering and Management (IJSA), and IEEE and ACM conferences.Dr. Shukla is an experienced and focused teacher committed to promoting students’ education and well-being. She is passionate about innovation and good practices in teaching. She has constantly engaged in continuous learning to broaden her knowledge and experience. Her core expertise lies in Computational Security, Artificial Intelligence, and Healthcare-related projects. She is skilled at adopting a pragmatic approach to improvising solutions and resolving complex research problems. Dr. Shukla possesses an integrated set of competencies encompassing Teaching, Mentoring, Strategic Management, and Establishing a Centre of Excellence via industry tie-ups. She has a track record of driving unprecedented research and development projects with international collaboration and has been instrumental in organizing various national and international events.Ms. Kritica Bisht is an aspiring analyst and economics enthusiast interested in integrating data and economics. She completed her B.Sc. in Economics and Analytics from Christ University, where she has consistently been a high scorer. Ms. Kritica has gained diverse experience across various fields, including business development and academic research. She has participated in research projects focusing on privacy-preserving machine learning and analyzing the interrelation of the economy worldwide. She is working with a South Korean company to strategize their market entry points in India.Ms. Kritica has been an active member of various bodies within her university, including the University Content Team, where she was the coordinator and the editor-in-chief for the department's first newsletter. Kritica finds solace in books in her free time and constantly seeks opportunities to learn and grow. With her passion for economics and data, she is eager to contribute to the field and make a positive impact. Mr. Kapil Tiwari, Currently pursuing his Ph.D. from CHRIST University, India, while being a software development manager at Amazon, Mr. Tiwari has 19 years of experience in software projects. His roles in OpenText, EMC, Sun Microsystems, SS&C, and Siemens Information Systems Ltd. have given him exposure to managing, designing, and developing cloud and on-premise software systems. Mr. Tiwari is an alum of C-DAC ACTS Bangalore and Devi Ahilya University, where he pursued his M.Sc. in Information Technology. His research interest lies in the domains of Data Privacy and Security, wherein he has contributed with his research papers and books. He is pursuing his Ph.D. in Privacy Preserving Machine Learning (PPML), where he is contributing through the creation of ML architectures to ensure privacy for various contributors in the field. Mr. Kapil also has rich exposure to Finance Technologies, Content Management, and the Medical domain.Dr. Shahid Bashir is working as an assistant professor of Economics in the Department of Data Science at Christ University. He received his Doctorate in Economics in 2021 from the Department of Economics, Central University of Kashmir. Dr. Shahid received the University Gold Medal from the Central University of Kashmir and the Maulana Azad National Doctoral Fellowship from the University Grants Commission, New Delhi. He has qualified for UGC-NET in economics four times consecutively. His research specialization lies in the area of Macroeconomics. Dr. Shahid has also published macroeconomics, health economics, and growth economics research papers. In addition, he has presented his research work at many national and international conferences and has attended many faculty development programs/workshops. He teaches theoretical and applied econometrics, financial econometrics, and research methodology at Christ University. He also specializes in teaching Public Economics, Microeconomics, and Quantitative Techniques in Economics. He is a life member of the World Economics Association, UK, and the Indian Economics and Allied Sciences Association (IEASA).

    Innehållsförteckning

    • Chapter 1: Data Economy.- Chapter 2: Navigating the Data Deluge: Challenges and Opportunities.- Chapter 3: Data Monetization.- Chapter 4: Demographic Trend of Data Economy.- Chapter 5: The Economy of Data Privacy.- Chapter 6: Application of Data Economy.