Results 11 to 20 of about 26,844,009 (300)

The use of Big Data Analytics in healthcare

open access: yesJournal of Big Data, 2022
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare.
Kornelia M. Batko, A. Ślęzak
semanticscholar   +1 more source

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

open access: yesArtificial Intelligence Review, 2022
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air
Yassine Himeur   +7 more
semanticscholar   +1 more source

Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view

open access: yesInternational Journal of Production Economics, 2022
This study attempts to understand the role of artificial intelligence-driven big data analytics capability in hu-manitarian relief operations.
Rameshwar Dubey   +4 more
semanticscholar   +1 more source

The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance

open access: yes, 2021
Big data analytics and artificial intelligence (BDA-AI) technologies have attracted increasing interest in recent years from academics and practitioners.
S. Benzidia, N. Makaoui, Omar Bentahar
semanticscholar   +1 more source

Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation

open access: yesJournal of business research, 2021
Big Data Analytics Capabilities (BDAC) represent critical tools for business competitiveness in highly dynamic markets. In this connection, by leveraging on the Dynamic Capabilities View (DCV) this study analyses the relationship between BDAC and ...
Francesco Ciampi   +4 more
semanticscholar   +1 more source

Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance

open access: yesTechnological forecasting & social change, 2021
Big data analytics (BDA) is a revolutionary approach for sound decision-making in organizations that can lead to remarkable changes in transforming and supporting the circular economy (CE).
Usama Awan   +5 more
semanticscholar   +1 more source

Precision agriculture using IoT data analytics and machine learning

open access: yesJournal of King Saud University: Computer and Information Sciences, 2021
In spite of the insight commonality may have concerning agrarian practice, fact is that nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than ever. The emanation of the technologies based on Internet of Things (IoT)
Ravesa Akhter, S. Sofi
semanticscholar   +1 more source

Big Data Analytics: A Survey

open access: yesIraqi Journal for Computers and Informatics, 2022
Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional ...
Wasnaa Kadhim Jawad, Abbas M. Al-Bakry
semanticscholar   +1 more source

BUSINESS INTELLIGENCE TRANSFORMATION THROUGH AI AND DATA ANALYTICS

open access: yesEngineering Science & Technology Journal, 2023
This paper delves into the transformative role of Artificial Intelligence (AI) and Data Analytics in the realm of Business Intelligence (BI), marking a significant shift in the landscape of business decision-making and strategic planning.
Emmanuel Osamuyimen Eboigbe   +4 more
semanticscholar   +1 more source

Federated Learning for Data Analytics in Education

open access: yesInternational Conference on Data Technologies and Applications, 2023
Federated learning techniques aim to train and build machine learning models based on distributed datasets across multiple devices while avoiding data leakage.
Christian Fachola   +5 more
semanticscholar   +1 more source

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