Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies,…mehr
Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as being a beacon for the general reader to make sense of the digital age.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. G. Elangovan has completed his Ph.D. in Information and Communication Engineering from Anna University, Chennai and is currently working as an Assistant Professor in the Department of Data Science and Business Systems at SRM Institute of Science and Technology, Kattankulathur. He has completed his M.E degree in Computer Science and Engineering from Bannari Amman Institute of Technology, Anna University and B.E degree in Computer Science and Engineering under Anna University, Chennai. He has more than 10 years of teaching and research experience and has several research publications in reputed International Journals/Conferences. His research area includes Graph based Data Analytics, Theoretical Computer Science and Machine learning. Dr. N. Susitha holds Master of Computer Applications from Alagappa Chettiar College of Engineering and Technology, Karaikudi in 2004, Master of Philosophy in Computer Science from Bharathidasan University, Trichirappalli in 2012. She qualified SET in 2018 and was conferred Doctorate from Mother Teresa Women's University, Kodaikanal in 2020. She worked as Programmer Analyst in Cognizant Technology Solutions, Chennai. Having 11 years teaching experience and currently working as Associate Professor in Department of Computer Science, School of Arts and Science, Vinayaka Mission's Research Foundation (Deemed to be University), Chennai. Her research interest includes Biometrics, Digital Image Processing and Machine Learning. She has published 11 reputed International Journals. Dr. S. Kavitha is currently working as a HOD & Associate professor in Department of Computer Science, School of Arts and Science, AVIT Campus-Chennai - 603104 TamilNadu, India since 2006.She has around 16 years of Experience in teaching both UG and PG Computer Science Students. She Received her Ph.D Degree in computer Science from Vinayaka Mission's Research Foundation, Salem and obtained her Master of Computer Applications Degree from Mother Teresa Women's University, kodaikanal. Dr.S.kavitha is an expertise in Programming Languages like C,C++ and Java and also keen interest on Advanced Technologies like Artificial Intelligence, Data Science and Big Data.
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