Deep Learning, Artificial Intelligence, Target Group Identification, Indoor Analytics: Management-Ans�tze f�r die Live-Kommunikation (German Edition)

Luppold, Stefan; Gerken, Marie-Christin

ISBN 10: 3946589243 ISBN 13: 9783946589242

Published by Wfa Medien Verlag, 2020

Language: German

Condition: New Soft cover

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Bibliographic Details

Title

Deep Learning, Artificial Intelligence, Target Group Identification, Indoor Analytics: Management-Ans�tze f�r die Live-Kommunikation (German Edition)

Publisher

Wfa Medien Verlag

Publication Date

2020

Language

German

ISBN 10

3946589243

ISBN 13

9783946589242

Binding

Soft cover

Condition

New

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Synopsis

K�nstliche Intelligenz (KI) bzw. Artificial Intelligence (AI) m�ssen thematisiert und vorausgedacht werden - wie kann deren sinnvoller Einsatz in der Live Communication und insbesondere bei Messen aussehen? In welcher Form k�nnen wir diese Transformation so gestalten, dass sie einen gr��tm�glichen Nutzen stiftet? Indoor Analytics ist weit mehr als ein Tool; es kann Gesch�ftsprozesse ver�ndern, das Zusammenspiel zwischen Veranstalter, Aussteller und Besucher redefinieren. Dazu bedarf es eines Grundverst�ndnisses der M�glichkeiten sowie der beispielhaften Anwendung entlang von Cases. Ein Modell zur strategischen Gewinnung relevanter Besucherzielgruppen ist einer der wichtigsten Schl�ssel f�r das Tor, das zum Erfolg von Veranstaltungen f�hrt. Mit dem in Zeiten kultivierter Disruption wohltuenden Akzent des Strategischen. Vier ausgezeichnete Arbeiten junger Akademiker, die alle bereits �ber Praxis in der Messe-, Kongress- und Eventbranche verf�gen, liefern Einblicke, schaffen Verst�ndnis und zeigen beispielhaft, wie man strukturiert Fragestellungen analysiert - und wertige Antworten findet. - MODELLENTWICKLUNG ZUR STRATEGISCHEN GEWINNUNG RELEVANTER ZIELGRUPPEN F�R INVESTITIONSG�TERMESSEN - DER EINSATZ VON INDOOR ANALYTICS BEI MESSEGESELLSCHAFTEN IN DEUTSCHLAND - ENTWICKLUNG VON USE-CASES UND DEREN BEWERTUNG UNTER BEZUGNAHME VON EXPERTENGESPR�CHEN UND BEFRAGUNGEN - EINSATZM�GLICHKEITEN VON DEEP-LEARNING ZUR VERBESSERUNG DES BESUCHERERLEBNISSES AUF MESSEN AM BEISPIEL DER LEIPZIGER MESSE GMBH - AN ANALYSIS OF THE INFLUENCES OF ARTIFICIAL INTELLIGENCE AND ITS POTENTIAL FOR APPLICATION IN THE EVENT SECTOR - DEVELOPMENT OF RECOMMENDATIONS FOR ACTION

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