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https://doi.org/10.21256/zhaw-27557| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Conversational AI – virtual assistant & chatbot at Sika Ltd. : a case sudy from the chemical industry |
| Autor/-in: | Marioni, C. Soriano Ramirez, M. Gaemperli, M. Kenel, A. Krey, M. |
| et. al: | No |
| DOI: | 10.18178/ijml.2023.13.1.1127 10.21256/zhaw-27557 |
| Erschienen in: | International Journal of Machine Learning |
| Band(Heft): | 13 |
| Heft: | 1 |
| Seite(n): | 39 |
| Seiten bis: | 47 |
| Erscheinungsdatum: | 2023 |
| Verlag / Hrsg. Institution: | International Association of Computer Science and Information Technology |
| ISSN: | 2010-3700 2972-368X |
| Sprache: | Englisch |
| Schlagwörter: | Chatbot; Chemical industry; IBM Watson; Case study |
| Fachgebiet (DDC): | 006: Spezielle Computerverfahren |
| Zusammenfassung: | The advances in Artificial Intelligence (AI) and Conversational Agents in recent years have opened possibilities for companies and software developers using chatbots. Several frameworks have been developed to help in the development process of chatbots. One important representative of these frameworks is the Watson™ Toolset created by IBM. In this paper, we present a use case of a chatbot that assists users in creating electronic educational material as part of the internal training platform of Sika Ltd. Through this use case, we present some of the technologies available in this space including a conversational agent that can be programmed through a graphical interface, a language tone analyzer and automated translation mechanisms. Furthermore, a summary on why and how to embed the Watson Discovery services into a chatbot will be given. We show, how these technologies can be created to develop a useful assistant, show experimental results based on interactions of educators, and discuss possibilities for further development. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/27557 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | School of Management and Law |
| Enthalten in den Sammlungen: | Publikationen School of Management and Law |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2023_Marioni-etal_Conversational-AI-at-Sika-Ltd.pdf | 3.18 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Marioni, C., Soriano Ramirez, M., Gaemperli, M., Kenel, A., & Krey, M. (2023). Conversational AI – virtual assistant & chatbot at Sika Ltd. : a case sudy from the chemical industry. International Journal of Machine Learning, 13(1), 39–47. https://doi.org/10.18178/ijml.2023.13.1.1127
Marioni, C. et al. (2023) ‘Conversational AI – virtual assistant & chatbot at Sika Ltd. : a case sudy from the chemical industry’, International Journal of Machine Learning, 13(1), pp. 39–47. Available at: https://doi.org/10.18178/ijml.2023.13.1.1127.
C. Marioni, M. Soriano Ramirez, M. Gaemperli, A. Kenel, and M. Krey, “Conversational AI – virtual assistant & chatbot at Sika Ltd. : a case sudy from the chemical industry,” International Journal of Machine Learning, vol. 13, no. 1, pp. 39–47, 2023, doi: 10.18178/ijml.2023.13.1.1127.
MARIONI, C., M. SORIANO RAMIREZ, M. GAEMPERLI, A. KENEL und M. KREY, 2023. Conversational AI – virtual assistant & chatbot at Sika Ltd. : a case sudy from the chemical industry. International Journal of Machine Learning. 2023. Bd. 13, Nr. 1, S. 39–47. DOI 10.18178/ijml.2023.13.1.1127
Marioni, C., M. Soriano Ramirez, M. Gaemperli, A. Kenel, and M. Krey. 2023. “Conversational AI – Virtual Assistant & Chatbot at Sika Ltd. : A Case Sudy from the Chemical Industry.” International Journal of Machine Learning 13 (1): 39–47. https://doi.org/10.18178/ijml.2023.13.1.1127.
Marioni, C., et al. “Conversational AI – Virtual Assistant & Chatbot at Sika Ltd. : A Case Sudy from the Chemical Industry.” International Journal of Machine Learning, vol. 13, no. 1, 2023, pp. 39–47, https://doi.org/10.18178/ijml.2023.13.1.1127.
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