TY - JOUR
T1 - ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS
T2 - METHODOLOGIES, APPLICATIONS, AND FUTURE DIRECTIONS
AU - Kanel-Belov, Alexey
AU - Abbas Alkubisi, Raghdan
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.
PY - 2026
Y1 - 2026
N2 - We systematically explores the methodologies, applications, challenges, and future directions of Big Data analytics driven by Artificial Intelligence. In particular, we emphasize the necessity of balancing technological innovation with ethical considerations to maximize societal benefits while mitigating risks. Bibliography : 34 titles.
AB - We systematically explores the methodologies, applications, challenges, and future directions of Big Data analytics driven by Artificial Intelligence. In particular, we emphasize the necessity of balancing technological innovation with ethical considerations to maximize societal benefits while mitigating risks. Bibliography : 34 titles.
UR - https://www.scopus.com/pages/publications/105027171451
U2 - 10.1007/s10958-025-08145-w
DO - 10.1007/s10958-025-08145-w
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AN - SCOPUS:105027171451
SN - 1072-3374
JO - Journal of Mathematical Sciences (United States)
JF - Journal of Mathematical Sciences (United States)
ER -