Conditions for the Use of Artificial Intelligence in Customer Service for Enhanced Efficiency: A Case Study Within Johnson & Johnson Medtech Switzerland
dc.contributor.author | Cassata, Sabrina | |
dc.contributor.mentor | Pilorget, Lionel | |
dc.date.accessioned | 2024-12-03T19:39:13Z | |
dc.date.available | 2024-12-03T19:39:13Z | |
dc.date.issued | 2024 | |
dc.description.abstract | This thesis revolves around the main research question: “How can AI technologies, particularly predictive analytics, transform customer service processes to increase efficiency within the Medtech industry?” Central to this research is the inquiry about four specific AI technologies, namely predictive analytics, generative AI, computer vision, and natural language processing. | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/49262 | |
dc.language.iso | en | |
dc.publisher | Hochschule für Wirtschaft FHNW | |
dc.spatial | Olten | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | Conditions for the Use of Artificial Intelligence in Customer Service for Enhanced Efficiency: A Case Study Within Johnson & Johnson Medtech Switzerland | |
dc.type | 11 - Studentische Arbeit | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.StudentsWorkType | Master | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Master of Science | |
relation.isMentorOfPublication | 9321dc2a-ab82-4d5e-8e76-fb96e3573d0b | |
relation.isMentorOfPublication.latestForDiscovery | 9321dc2a-ab82-4d5e-8e76-fb96e3573d0b |