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X-WR-CALDESC:Veranstaltungen für SKDV - schweizer service verband
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DTSTART;TZID=Europe/Zurich:20191113T114500
DTEND;TZID=Europe/Zurich:20191113T131500
DTSTAMP:20260502T153832
CREATED:20191024T100308Z
LAST-MODIFIED:20191024T100450Z
UID:2582-1573645500-1573650900@tescht2.skdv.ch
SUMMARY:Service Lunch: The Human Factor: Making the Most of AI Results\, Zürich
DESCRIPTION:Service Lunch: „Essen\, Lernen\, Netzwerken“				\n				\n				\n				\n					Das erwartet Sie				\n				\n					\n		\n					\n		\n				\n						\n					\n			\n						\n				\n																														\n				\n				\n				\n					Key Speaker:				\n				\n				\n				\n									Kevin SmithHead of Analytics & AIContovista AG 								\n				\n					\n		\n				\n			\n						\n				\n					The Human Factor: Making the Most of AI Results\n				\n				\n				\n				\n									When it comes to machine learning and AI\, the main focus is very often on algorithms\, data\, and infrastructure. Anyone who has ever brought such a model into production at a larger company knows\, however\, that for many applications there is another decisive factor which often has a larger impact on the final result than the selection of the ML-model or the hyperparameter tuning in order to optimize the 4th decimal place. And these are the employees who (should) use the results of the model in their daily business. At Contovista\, one of our products is a suite of Machine Learning models for banks which are used to maximise the conversation rate of a product campaign (e.g. credit card campaign). The customersselected by our models are often contacted directly by the client advisor. Thus client advisors have a substantial impact on the final success of the project. We have gained a lot of experience in how to improve the cooperation with client advisors to ensure that good AI results lead to good project results. In my talk I would like to share some of theselearnings with you and discuss your opinions\, experiences and ideas about this topic. 								\n				\n					\n		\n					\n		\n				\n				\n							\n			\n		\n						\n				\n				\n						\n					\n			\n						\n				\n									Platzzahl am Event limitiertBrown Bag Lunch (Verpflegung bitte selber mitbringen) Organisiert wird diese Veranstaltung von der Swiss Alliance for Data-Intensive Services\, einem von Innosuisse geförderten nationalen thematischen Netzwerk.Weitere Informationen über die Swiss Alliance for Data-Intensive Services: https://data-service-alliance.ch 								\n				\n				\n				\n					Teilnahme kostenlos für SKDV Mitglieder (Members)				\n				\n				\n				\n									CHF 20.00 für Non-Members								\n				\n				\n				\n									\n					\n						\n									Jetzt anmelden (XING Events)\n					\n					\n				\n								\n				\n				\n				\n									\n					\n						\n									Flyer öffnen (PDF)\n					\n					\n				\n								\n				\n				\n				\n							\n			\n		\n						\n				\n				\n				\n									\n					\n						\n						\n							\n									Event-Übersicht
URL:https://tescht2.skdv.ch/event/service-lunch-the-human-factor-making-the-most-of-ai-results/
LOCATION:ZHAW Zürich\, Lagerstrasse 41\, Zürich\, 8021\, Schweiz
CATEGORIES:Service Lunch
ATTACH;FMTTYPE=image/png:https://tescht2.skdv.ch/wp-content/uploads/2019/04/BusinessLunch_SBB.png
ORGANIZER;CN="data innovation alliance":MAILTO:conference@data-innovation.org
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