Artificial Intelligence in the process industries – technology overview, case studies, and success factors
This article explores the role of artificial intelligence (AI) in the process industries such as the chemical and pharmaceutical industry. We start by classifying the most prominent technologies comprised under the generic term of AI, define them, and delineate their applicability in various functio...
Verfasser: | |
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Dokumenttypen: | Artikel |
Medientypen: | Text |
Erscheinungsdatum: | 2019 |
Publikation in MIAMI: | 19.12.2019 |
Datum der letzten Änderung: | 19.12.2019 |
Quelle: | Journal of Business Chemistry, 16 (2019) 1, S. 41-53 |
Verlag/Hrsg.: |
Institut für betriebswirtschaftliches Management im Fachbereich Chemie und Pharmazie
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Angaben zur Ausgabe: | [Electronic ed.] |
Fachgebiet (DDC): | 330: Wirtschaft |
Lizenz: | InC 1.0 |
Sprache: | Englisch |
Anmerkungen: | Section "Research Paper" |
Format: | PDF-Dokument |
URN: | urn:nbn:de:hbz:6-55199638939 |
Weitere Identifikatoren: | DOI: 10.17879/55199636345 |
Permalink: | https://nbn-resolving.de/urn:nbn:de:hbz:6-55199638939 |
Onlinezugriff: | jbc_2019_16_1_41-53.pdf |
This article explores the role of artificial intelligence (AI) in the process industries such as the chemical and pharmaceutical industry. We start by classifying the most prominent technologies comprised under the generic term of AI, define them, and delineate their applicability in various functions along the organizational value chain. Further, we illustrate the boundary conditions for AI application by describing what data are required to initiate and sustain the ”intelligence” of algorithms. We continue with thought-provoking case studies that exemplify the status quo and possible future applications of AI in the chemical and pharmaceutical industry. Based on academic insights, we discuss potential barriers and pitfalls that firms might face while integrating AI into their business processes and present remedies.