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--- arbeiten:chatbot_bei_krones [27.05.2019 13:49] – Martin Brockelmann
+++ arbeiten:chatbot_bei_krones [18.11.2019 09:23] – [Data-Entry] Alexander Bazo
@@ Zeile 2: / Zeile 2: @@
 ---- dataentry StudentischeArbeit ----
-Thema                     : Acceptance of and Interaction with AI – development and evaluation of an intelligent B2B Chatbot using a software as a service architecture with a recommender system at Krones. #
+Thema                                  : Acceptance of and Interaction with AI – development and evaluation of an intelligent B2B Chatbot using a software as a service architecture with a recommender system at Krones #
-Art_thesistypes           : MA #
+Art_thesistypes                        : MA #
-Betreuer_thesisadvisor    : Martin Brockelmann #
+BetreuerIn_thesisadvisor               : Martin Brockelmann #
-Student                   : Maximilian Müller #
+BearbeiterIn                           : Max Müller #
-Professor_thesisprofessor : Christian Wolff #
+ErstgutachterIn_thesisprofessor        : Bernd Ludwig #
-Status_thesisstate        : in Bearbeitung #
+ZweitgutachterIn_secondthesisprofessor : Christian Wolff
-Stichworte_thesiskeywords : Krones, Chatbot #
+Status_thesisstate                     : in Bearbeitung #
-angelegt_dt               : 2019-05-27 #
+Stichworte_thesiskeywords              : Krones, Chatbot #
-Beginn_dt                 : 2019-05-20 #
+angelegt_dt                            : 2019-05-27 #
-Anmeldung_dt              :  #
+Beginn_dt                              : 2019-05-20 #
-Antrittsvortrag_dt        :  #
+Anmeldung_dt                           :  #
-Abschlussvortrag_dt       :  #
+Antrittsvortrag_dt                     : 2019-10-21 #
-Ende_dt                   :  #
+Abschlussvortrag_dt                    : 2019-11-25 #
+Abgabe_dt                              : 2019-10-30 #
+Textlizenz_textlicense                 : Unbekannt
+Codelizenz_codelicense                 : Unbekannt
 ----
@@ Zeile 22: / Zeile 33: @@
 In the world of business customer satisfaction is very important. In our busy time it is increasingly difficult to process and answer all requests. Customers want to know everything about any kind of topic and best of all immediately. In recent years dialogue agents became more popular, because they grew more intelligent in understanding human language and more powerful backed by AI. As most requests come in form of text it is a reasonable conclusion to connect a chatbot with available company information and let them serve customer needs.
 The chatbot developed in this thesis will be used in the contact form to interact with customers. After understanding the need, it will have two main functions: 1. Give a suitable answer from the source data. 2. If the request cannot be resolved, gather more information about the request and send it to the right person or group.
-This should increase customer satisfaction through immediate feedback and reduce the workload in employees in distributing the request automatically.
+This should increase customer satisfaction through immediate feedback and reduce the workload of employees in distributing the request automatically.
@@ Zeile 53: / Zeile 64: @@
   -   Tensor Flow
   -   SaaS Architekturen wie:
-  * Google DialogFlow
+  -   * Google DialogFlow
-  * IBM Watson
+  -   * IBM Watson
-  * Microsoft Botframework
+  -   * Microsoft Botframework
-  * andere
+  -   * andere