Skip to main content

The Use of the Internet of Things to Ensure the Smooth Operation of Network Functions in Fintech

  • Conference paper
  • First Online:
Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2022)

Abstract

IoT (Internet of Things) covers network-connected devices that can improve various aspects of our lives. Every second in the world, 127 new devices join the internet. According to some estimates, by 2025, there will be 64 billion such “smart” devices. This is a significant jump when compared with 2018 when there were 10 billion of them. IoT gadgets are such touch points that collect information about the environment. They share data through the cloud, where they are analyzed to transform people’s businesses and daily lives. In particular, technology has already penetrated deeply into the world of Finance. Today, there is no need to visit banks often. However, sometimes a visit is unavoidable. IoT is designed to help make it more convenient for customers. For example, queues are common for many financial institutions. IoT tools can quickly find the most suitable bank consultant. In this case, the customer enters their problem into the original equipment, then they are issued a ticket with information about the specialist, then the device notifies them when it is their turn. IoT allows bank managers to reduce the number of employees, and maintenance costs, and at the same time reduce the waiting time for the client. BMO Harris Bank has tested a “smart” branch, where instead of real employees – chatbots. In case of unexpected questions, chatbots contact a real consultant using video conferencing tools.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

References

  1. Alaraj, M., Abbod, M.F.: Classifiers consensus system approach for credit scoring. Knowl. Based Syst. 104, 89–105 (2016)

    Article  Google Scholar 

  2. Aydin, A.D., Cavdar, S.C.: Prediction of financial crisis with artificial neural network: an empirical analysis on Turkey. Int. J. Financ. Res. 6(4), 36 (2015)

    Article  Google Scholar 

  3. Cuipa, E., Ramani, S., Shetty, N., Smart, C.: Financing the Internet of Things: an earlyglimpse of the Potential M-RCBG Associate Working Paper Series, No. 85 (2018)

    Google Scholar 

  4. Dastkhan, H.: Network-based early warning system to predict financial crisis. Int. J. Financ. Econ. 26(1), 594–616 (2021)

    Article  Google Scholar 

  5. Dozat, T.: Incorporating Nesterov Momentum intoAdam ICLR Workshop, no. 1, 2013–2016 (2016)

    Google Scholar 

  6. Electron. J. (2017). Infosys Limited: IOT-Enabled Banking Services. https://doi.org/10.2139/ssrn.30717422. https://www.infosys.com/industries/financial-services/white-papers/Documents/IoT-enabled-banking.pdf

  7. Ma, F.X., Zhou, Y.Y., Mo, X.Y., Xia, Y.W.: The establishment of a financial crisis early warning system for domestic listed companies based on two neural network models in the context of COVID-19. Mathematical Problems in Engineering (2020)

    Google Scholar 

  8. Fernández-Arias, D., López-Martín, M., Montero-Romero, T., Martínez-Estudillo, F., Fernández-Navarro, F.: Financial soundness prediction using a multi-classification model: evidence from current financial crisis in OECD banks. Comput. Econ. 52(1), 275–297 (2018)

    Article  Google Scholar 

  9. Foes, O.R.: Fintech and banks, regulation, and the real sector. Eur. Econ. Banks Regul. Real Sect. 2, 1–162 (2017). 8. S. in Join: 15 Top Fintech Companies in India 2018 (2018). https://www.whizsky.com/2018/04/20-top-fintech-companies-in-india-2018/

  10. Hashim, F.A., Houssein, E.H., Mabrouk, M.S., Al-Atabany, W., Mirjalili, S.: Henry gas solubility optimization: a novel physics-based algorithm. Futur. Gener. Comput. Syst. 101, 646–667 (2019)

    Article  Google Scholar 

  11. Kuldasheva, Z., Ismailova, N., Balbaa, M.: Evaluating the Factors Affecting Consumer’s Online Shopping Behavior: The Case of Uzbekistan, 2022. Association for Computing Machinery, New York, NY, USA, ICFNDS 2021, pp. 328–333 (2022). ISBN 9781450387347, https://doi.org/10.1145/3508072.3508126

  12. Metawa, N., Pustokhina, I.V., Pustokhin, D.A., Shankar, K., Elhoseny, M.: computational intelligence-based financial crisis prediction model using feature subset selection with optimal deep belief network. Big Data 9(2), 100–115 (2021)

    Article  Google Scholar 

  13. Metawa, U.J.N., Shankar, K., Lakshmanaprabu, S.K.: Financial crisis prediction model using ant colony optimization. Int. J. Inf. Manag. 50, 538–556 (2018)

    Google Scholar 

  14. Schubert, J.: 4 Top Challenges Facing the Banking Industry Right Now (2015). https://www.digitalistmag.com/industries/banking/2015/08/27/4-top-challenges-facing-banking-industry-right-now-03352186

  15. Astanakulov, O.: National projects and government programmes: functional algorithm for evaluating and modelling using the data science methodology. Econ. Ann.-XXI 183(5–6), 51–59 (2020). https://doi.org/10.21003/ea.V183-05

  16. Schulte, P., Liu, G., Alerts, E., Journals, I.I.: FinTech is merging with IoT and AI to challengebanks: how entrenched interests can prepare. Inst. Investig. J. 20(3), 41–57 (2018)

    Google Scholar 

  17. Story, C., Talk, I., Study, C.: Accelerating your journey to #truly digital banking (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muhammad Eid Balbaa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Astanakulov, O., Balbaa, M.E. (2023). The Use of the Internet of Things to Ensure the Smooth Operation of Network Functions in Fintech. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-30258-9_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30257-2

  • Online ISBN: 978-3-031-30258-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics