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Wirtschaftsinformatik & Management

Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie

  • 01-10-2017
  • Schwerpunkt
Published in:
Authors
Dr. Dirk Hecker
Inga Döbel
Dr. Stefan Rüping
Velina Schmitz
Published in
Wirtschaftsinformatik & Management | Issue 5/2017

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Excerpt

Maschinelles Lernen ist die Schlüsseltechnologie für intelligente Systeme. Besonders erfolgreich ist in den letzten Jahren das Lernen tiefer Modelle aus großen Datenmengen — „Deep Learning“. Mit dem Internet der Dinge rollt die nächste, noch größere Datenwelle auf uns zu. Hier bietet die Künstliche Intelligenz besondere Chancen für die deutsche Industrie, wenn sie schnell genug in die Digitalisierung einsteigt. …

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previous article Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen
next article „Technologien müssen Kundenprobleme lösen“
Title
Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie
Authors
Dr. Dirk Hecker
Inga Döbel
Dr. Stefan Rüping
Velina Schmitz
Publication date
01-10-2017
Publisher
Springer Fachmedien Wiesbaden
Published in
Wirtschaftsinformatik & Management / Issue 5/2017
Print ISSN: 1867-5905
Electronic ISSN: 1867-5913
DOI
https://doi.org/10.1007/s35764-017-0110-6
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