Results 31 to 40 of about 26,844,009 (300)
Big Data and Cognitive Computing, 2022 Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics ...
In Lee, George Mangalaraj
semanticscholar +1 more source
Enabling real time big data solutions for manufacturing at scale
Journal of Big Data, 2022 Today we create and collect more data than we have in the past. All this data comes from different sources, including social media platforms, our phones and computers, healthcare gadgets and wearable technology, scientific instruments, financial ...
Altan Cakir +3 more
doaj +1 more source
Information Manager (The), 2020 A central question for information systems (IS) researchers and practitioners is if, and how, big data can help attain a competitive advantage. To address this question, this study draws on the resource-based view, dynamic capabilities view, and on ...
P. Mikalef +3 more
semanticscholar +1 more source
Big data analytics in Cloud computing: an overview
Journal of Cloud Computing, 2022 Big Data and Cloud Computing as two mainstream technologies, are at the center of concern in the IT field. Every day a huge amount of data is produced from different sources.
Blend Berisha +2 more
semanticscholar +1 more source
Communications Medicine, 2023 Background Seasonal influenza places a substantial burden annually on healthcare services. Policies during the COVID-19 pandemic limited the transmission of seasonal influenza, making the timing and magnitude of a potential resurgence difficult to ...
Jonathon Mellor +7 more
doaj +1 more source
Visual analytics of EA data [PDF]
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, 2011 An experimental analysis of evolutionary algorithms usually generates a huge amount of multidimensional data, including numeric and symbolic data. It is difficult to efficiently navigate in such a set of data, for instance to be able to tune the parameters or evaluate the efficiency of some operators. Usual features of existing EA visualisation systems
Lutton, Evelyne, Fekete, Jean-Daniel
openaire +2 more sources
International Journal of Production Economics, 2021 The role of big data in implementing supply chain finance (SCF) initiatives lacks empirical study. There is little guidance available for managers on developing an integrated SCF process in the era of big data. Using organizational information processing
Wantao Yu, C. Wong, R. Chavez, M. Jacobs
semanticscholar +1 more source
BMJ Open, 2023 Objectives Investigate trends in continuity of care with a general practitioner (GP) before and during the COVID-19 pandemic. Identify whether continuity of care is associated with consultation mode, controlling for other patient and practice ...
Will Parry +5 more
doaj +1 more source
Technological forecasting & social change, 2020 The significance of big data analytics-powered artificial intelligence has grown in recent years. The literature indicates that big data analytics-powered artificial intelligence has the ability to enhance supply chain performance, but there is limited ...
Surajit Bag +3 more
semanticscholar +1 more source
Exploring Data Analytics of Data Variety [PDF]
, 2018 The Internet allows organizations managers access to large amounts of data, and this data are presented in different formats, i.e., data variety, namely structured, semi-structured and unstructured. Based on the Internet, this data variety is partly derived from social networks, but not only, machines are also capable of sharing information among ...
Tiago Cruz +2 more
openaire +2 more sources