AI, Data, and Digitalization

Authors :: Akerkar, Rajendra
Publication Year :: 2024
Publisher :: Cham: Springer Nature; Springer Nature Switzerland, 2024.
Abstract: This open access book constitutes the revised selected papers of the First International Symposium on AI, Data and Digitalization, SAIDD 2023, held in Sogndal, Norway, during May 9–10, 2023. The 13 full papers included in this volume were carefully reviewed and selected from 42 submissions. The papers deal with the impact of data and AI on the digital revolution and their contribution to solving societal challenges.

Subjects :: data
big data
artificial intelligence
ethical AI
causal effects
mobile data
geolocation data
social data
machine learning
knowledge graphs
thema EDItEUR::U Computing and Information Technology::UK Computer hardware
thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPJ Coding theory and cryptology

Language :: English
ISBN :: 978-3-031-53770-7
978-3-031-53769-1
3-031-53770-X
3-031-53769-6
ISBNs :: 9783031537707, 9783031537691, 303153770X, and 3031537696
Database :: OAPEN Library
Notes :: ONIX_20240416_9783031537707_49, , https://link.springer.com/978-3-031-53770-7
Publication Type :: eBook
Accession number :: edsoap.20.500.12657.89957
Document Type :: book
Full Text :: https://doi.org/10.1007/978-3-031-53770-7