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Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

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Title: Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?
Authors: Ruggeri, Fabrizio1 (AUTHOR) fabrizio@mi.imati.cnr.it, Banks, David2 (AUTHOR), Cleveland, William S.3 (AUTHOR), Fisher, Nicholas I.4 (AUTHOR), Escobar‐Anel, Marcos5 (AUTHOR), Giudici, Paolo6 (AUTHOR), Raffinetti, Emanuela6 (AUTHOR), Hoerl, Roger W.7 (AUTHOR), Lin, Dennis K. J.3 (AUTHOR), Kenett, Ron S.8 (AUTHOR), Li, Wai Keung9 (AUTHOR), Yu, Philip L. H.9 (AUTHOR), Poggi, Jean‐Michel10 (AUTHOR), Reis, Marco S.11 (AUTHOR), Saporta, Gilbert12 (AUTHOR), Secchi, Piercesare13 (AUTHOR), Sen, Rituparna14 (AUTHOR), Steland, Ansgar15 (AUTHOR), Zhang, Zhanpan16 (AUTHOR)
Source: Applied Stochastic Models in Business & Industry. Mar/Apr2025, Vol. 41 Issue 2, p1-27. 27p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="JN" term="%22Applied+Stochastic+Models+in+Business+%26+Industry%22">Applied Stochastic Models in Business & Industry</searchLink>. Mar/Apr2025, Vol. 41 Issue 2, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=184496168
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