Skip to main content

AI and Financial Services

  • Chapter
  • First Online:

Part of the book series: Studies in Big Data ((SBD,volume 50))

Abstract

Finance and traditional banking is an industry which is historically data-rich although not so much data-driven. AI is affecting the sector in several ways, ranging from financial wellness to financial security, capital markets, and even money transfer. But above all AI is forcing the financial services players to innovate and to look for alternative solutions to old problems.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Baker, A. (2003). Biotechnology’s growth-innovation paradox and the new model for success. Journal of Commercial Biotechnology, 9(4), 286–288.

    Article  Google Scholar 

  • Cohen, W. (1995). Empirical studies of innovative activity (Ch. 6). In P. Stoneman (Ed.), Handbook of the economics of innovation and technological change (pp. 182–264). Cambridge, Massachusetts: Blackwell.

    Google Scholar 

  • Cohen, W., & Levin, R. (1989). Empirical studies of innovation and market structure (Ch. 18). In R. Schmalensee & R. Willig (Eds.), Handbook of Industrial Organization (Vol. 2, pp. 1059–1107). Amsterdam, North-Holland.

    Google Scholar 

  • Corea, F. (2015). What finance can learn from biopharma industry: A transfer of innovation models. Expert Journal of Finance, 3, 45–53.

    Google Scholar 

  • Frame, W. S., White, L. J. (2002). Empirical studies of financial innovation: Lots of talk, little action?. Working paper. Federal Reserve Bank of Atlanta, N. 2002–12.

    Google Scholar 

  • Fuchs, G., & Krauss, G. (2003). Biotechnology in comparative perspective. In G. Fuchs (Ed.), Biotechnology in Comparative Perspective (pp. 1–13). New York: Routledge.

    Chapter  Google Scholar 

  • Gans, J., Stern, S. (2003). Managing ideas: Commercialization strategies for biotechnology. Intellectual Property Research Institute of Australia Working Paper 01/03, 1–24.

    Google Scholar 

  • Li, J., Halal, W. E. (2002). Reinventing the biotech manager. Nature Biotechnology, 20(6s), 61–3.

    Article  Google Scholar 

  • Lichtenthaler, U. (2008). Open innovation in practice: An analysis of strategic approaches to technology transactions. IEEE Transactions on Engineering Management, 55(1), 148–157.

    Article  Google Scholar 

  • Meyer, F. J. (2002, November 25). Business models that biotech companies employ. Enterprise Development KFBS Biotech Speakers Series.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francesco Corea .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Corea, F. (2019). AI and Financial Services. In: An Introduction to Data. Studies in Big Data, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-030-04468-8_10

Download citation

Publish with us

Policies and ethics