1. AI, Data, and Digitalization
- Author
-
Akerkar, Rajendra
- 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 - 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.
- Published
- 2024
- Full Text
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