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The impact of Covid on machine learning and data science in UK banking

Author

Listed:
  • Bholat , David

    (Bank of England)

  • Gharbawi , Mohammed

    (Bank of England)

  • Thew, Oliver

    (Bank of England)

Abstract

This article reports findings from a survey conducted in August 2020 of banks headquartered or operating in the UK. The survey sought to understand how Covid has affected the adoption and use of machine learning and data science. We will continue to monitor how these technologies are used, including their benefits and risks, and explore how we can best support their safe adoption.

Suggested Citation

  • Bholat , David & Gharbawi , Mohammed & Thew, Oliver, 2020. "The impact of Covid on machine learning and data science in UK banking," Bank of England Quarterly Bulletin, Bank of England, vol. 60(4), pages 3-3.
    • Handle: RePEc:boe:qbullt:0257
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    File URL: https://www.bankofengland.co.uk/quarterly-bulletin/2020/2020-q4/the-impact-of-covid-on-machine-learning-and-data-science-in-uk-banking
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    Cited by:

    1. Karolis Liaudinskas, 2022. "Human vs. Machine: Disposition Effect among Algorithmic and Human Day Traders," Working Paper 2022/6, Norges Bank.
    2. Marcus Buckmann & Andy Haldane & Anne-Caroline Hüser, 2021. "Comparing minds and machines: implications for financial stability," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 479-508.
    3. Dóra Szili & Tibor Guzsvinecz & Judit Szűcs, 2022. "How Banks Were Chosen and Rated in Hungary before and during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(11), pages 1-16, May.

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