Skip to main content

2018 | OriginalPaper | Buchkapitel

31. How Banks Can Better Serve Their Customers Through Artificial Techniques

verfasst von : Armando Vieira, Attul Sehgal

Erschienen in: Digital Marketplaces Unleashed

Verlag: Springer Berlin Heidelberg

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Thanks to the big data revolution and advanced computational capabilities, companies have never had such a deep access to customer data. This is allowing organizations to interpret, understand, and forecast customer behaviors as never before. Artificial Intelligence (AI) algorithms will play a pivotal role in transforming business intelligence into a fully predictive probabilistic framework. AI will be able to radically transform or automate numerous functions within companies, from pricing, budget allocation, fraud detection and security. This chapter will present some approaches on advanced analytics and provide some examples from the financial sector on how AI is helping institutions refine small business credit scoring, understand online behavior and improve customer service. Further, we will also explore how integration with traditional business processes can work and how organizations can then take advantage of the data driven approach.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Y. N. Harari, Homos Deus, Harvill Secker, 2016. Y. N. Harari, Homos Deus, Harvill Secker, 2016.
2.
Zurück zum Zitat B. Agarwal, S. Ambrose, S. Chomsisengphet und C. Liu, The role of soft information in a dynamic contract setting: Evidence from the home equity credit market, Bd. 43, J. Money Credit Banking, 2011, p. 633.CrossRef B. Agarwal, S. Ambrose, S. Chomsisengphet und C. Liu, The role of soft information in a dynamic contract setting: Evidence from the home equity credit market, Bd. 43, J. Money Credit Banking, 2011, p. 633.CrossRef
3.
Zurück zum Zitat J. Schmidhuber, “Deep learning in neural networks: An overview,” in Neural Networks, Bd. 61, 2015, pp. 85–117.CrossRef J. Schmidhuber, “Deep learning in neural networks: An overview,” in Neural Networks, Bd. 61, 2015, pp. 85–117.CrossRef
5.
Zurück zum Zitat A. Vieira, Deep Neural Networks: review and business applications, Apress (in preperation). A. Vieira, Deep Neural Networks: review and business applications, Apress (in preperation).
6.
Zurück zum Zitat A. Krizhevsky, I. Sutskever und G. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in Neural Information Processing Systems, Bd. 25, Curran Associates, 2012, pp. 1106–1114. A. Krizhevsky, I. Sutskever und G. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in Neural Information Processing Systems, Bd. 25, Curran Associates, 2012, pp. 1106–1114.
8.
Zurück zum Zitat M. Lin, N. Prabhala und S. Viswanathan, Judging borrowers by the company they keep: Friendship networks and information asymmetry in online peer-to-peer lending, Bd. 59, Manag. Sci., 2013, pp. 17–35.CrossRef M. Lin, N. Prabhala und S. Viswanathan, Judging borrowers by the company they keep: Friendship networks and information asymmetry in online peer-to-peer lending, Bd. 59, Manag. Sci., 2013, pp. 17–35.CrossRef
13.
Zurück zum Zitat McKinsey Global Inst., Big Data, The Next Frontier for Innovation, Competition, Productivity, New York, NY, USA, 2011. McKinsey Global Inst., Big Data, The Next Frontier for Innovation, Competition, Productivity, New York, NY, USA, 2011.
14.
Zurück zum Zitat J. Neves und A. Vieira, Improving bankruptcy prediction with hidden layer learning vevtor quantization, Bd. 15, European Accounting Review, 2006, pp. 253–271.CrossRef J. Neves und A. Vieira, Improving bankruptcy prediction with hidden layer learning vevtor quantization, Bd. 15, European Accounting Review, 2006, pp. 253–271.CrossRef
15.
Zurück zum Zitat A. Kracklauer, D. Mills und D. Seifert, Customer management as the origin of collaborative customer relationship management, C. C. R. M. T. C. t. t. N. Level, Hrsg., Berlin, Germany: Springer-Verlag, 2004.CrossRef A. Kracklauer, D. Mills und D. Seifert, Customer management as the origin of collaborative customer relationship management, C. C. R. M. T. C. t. t. N. Level, Hrsg., Berlin, Germany: Springer-Verlag, 2004.CrossRef
16.
Zurück zum Zitat E. Ngai, L. Xiu und D. Chau, Application of data mining techniques in customer relationship management: A literature review and classification, Bd. 36, Exp. Syst. Appl., 2009, pp. 2592–2602.CrossRef E. Ngai, L. Xiu und D. Chau, Application of data mining techniques in customer relationship management: A literature review and classification, Bd. 36, Exp. Syst. Appl., 2009, pp. 2592–2602.CrossRef
20.
Zurück zum Zitat techncrunch.com, penny-is-a-chat-based-personal-finance-coach, 2015. techncrunch.com, penny-is-a-chat-based-personal-finance-coach, 2015.
21.
Zurück zum Zitat do-your-banking-with-a-chatbot, Massachusetts: MIT Technology Review, 2016. do-your-banking-with-a-chatbot, Massachusetts: MIT Technology Review, 2016.
22.
24.
Zurück zum Zitat B. Ribeiro und N. Lopes, “Deep belief networks for financial prediction,” in International Conference on Neural Information Processing, 2011.CrossRef B. Ribeiro und N. Lopes, “Deep belief networks for financial prediction,” in International Conference on Neural Information Processing, 2011.CrossRef
Metadaten
Titel
How Banks Can Better Serve Their Customers Through Artificial Techniques
verfasst von
Armando Vieira
Attul Sehgal
Copyright-Jahr
2018
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-49275-8_31

Premium Partner