Cloud advisor bot: towards a chatbot to enable efficient cloud assessments
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Autor:in (Körperschaft)
Publikationsdatum
2021
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
IIAI-AAI 2021. 2021 10th International Congress on Advanced Applied Informatics. Proceedings
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
643-648
Patentnummer
Verlag / Herausgebende Institution
IEEE
Verlagsort / Veranstaltungsort
New York
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Increased consciousness of cloud computing capabilities leads to greater adoption of the cloud. For many businesses, cloud computing represents an attractive cost-saving option for the establishment and maintenance of IT resources. Decision-makers are often confronted with multi-criteria decision issues regarding cloud service and deployment model selection and do not have the required technological and business-related background. This work aimed at developing a conversational decisions advisor in the form of the Cloud Advisor Bot to support complex assessment of cloud needs. The literature review revealed a gap in this domain as there is no pre-existing research in the area of chatbots that support the cloud assessment process. Based on the literature reviews as well as further research, it was investigated which elements needed to be developed in order to implement a prototype of the Cloud Advisor Bot. To achieve this, design science research was applied to iteratively develop the solution. The evaluation has shown that the prototype of the Cloud Advisor Bot can be successfully used in order to conduct an assessment regarding a possible cloud deployment scenario. The paper also proposes further developments in order to improve the solution and make it viable for the future
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
6th International Conference on Business Management of Technology (BMOT 2021)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
11.07.2021
Enddatum der Konferenz
16.07.2021
Datum der letzten Prüfung
ISBN
978-1-6654-2420-2
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
HOFER, Emanuel Lucas, Stella GATZIU GRIVAS und Claudio GIOVANOLI, 2021. Cloud advisor bot: towards a chatbot to enable efficient cloud assessments. In: IIAI-AAI 2021. 2021 10th International Congress on Advanced Applied Informatics. Proceedings. New York: IEEE. 2021. S. 643–648. ISBN 978-1-6654-2420-2. Verfügbar unter: https://irf.fhnw.ch/handle/11654/43104