T�tulo: Deep Learning, Artificial Intelligence, Target Group Identification, Indoor Analytics ManagementAnstze fr die LiveKommunikation
Editor: Wfa Medien Verlag
Fecha de publicaci�n: 2020
Idioma: Alem�n
ISBN 10: 3946589243
ISBN 13: 9783946589242
Encuadernaci�n: PAP
Estado: New

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Sinopsis

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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