Chatbots accomplishing human-like expertise in the domain of legal insurance
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2017
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
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Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
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Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Chatbots and digitisation were a frequent topic thorough the year 2017. Different branches and business sectors get captured more and more by cost pressure and need for innovation. So, does the insurance industry. Within this paper, the limited nature of current chatbots is examined. To effectively understand state of the art models, different techniques in machine learning and case based reasoning were analysed. The aim was to examine whether it is possible or not, to design a chatbot, that accomplishes human like behaviour and expertise in the sub domain of legal insurance. Using the Design Science Research in Information Systems (DSRIS) approach, a chat-bot was developed and tested over several iterations. By evaluating use-case complexity aiming to create significant results, the process of a “shallow audit on coverage” within the legal insurances branch was targeted. Findings derived from literature were applied to create a prototype, which was utilised to experiment and process observations. The model, as final artefact resulting from software development, is illustrated below....
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
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ISBN
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Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
Sommer, D. (2017). Chatbots accomplishing human-like expertise in the domain of legal insurance [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/39941