Regulation ‘constraining Machine Learning deployment’

Despite rising ML utilisation, almost half of the 168 organisations surveyed said Prudential Regulation Authority and/or FCA regulations were constraining ML deployment, with 25 per cent saying this is due to a lack of clarity within existing regulation, according to new research by the Bank of England and the Financial Conduct Authority (FCA).

The survey also found that three quarters of UK financial services firms report using or developing Machine Learning (ML) applications – a rise of five per cent compared to 2019.

More than three quarters - 79 per cent - reported that ML applications were in the latter stages of development and deployed across a considerable share of business areas or critical to some business areas.

As in the first survey in 2019, customer engagement and risk management were found to be the areas with the most applications, accounting for 28 per cent and 23 per cent of all reported applications respectively.

More than three quarters of respondents said their ML applications had data governance frameworks in place, with model risk management and operational risk frameworks also commonplace at 67 per cent.

More than three quarters of respondents develop and implement ML applications internally at their organisation – marking a rise from 76 per cent in the 2019.

    Share Story:

Recent Stories


The human firewall: Activating employees to safeguard financial data
As financial services increasingly embrace SaaS and cloud-based technologies, they face emerging threats to safeguard sensitive customer data. While comprehensive IT security measures are essential, the active involvement of employees across organisations is pivotal in ensuring the protection of sensitive data.

Building a secure financial future for instant payments: The convergence of ISO 20022 and fraud detection
The financial landscape is rapidly evolving its approach to real-time transactions under the ISO 20022 standard, and financial institutions must take note. With examples such as the accelerated adoption of SEPA Instant Credit Transfers in Europe and proposed New Payment Architecture (NPA) programme in the UK, the need for swift and effective fraud detection is more crucial than ever.

Data Streaming and Consumer Duty: Transforming customer experience in banking
Introduced at the end of July, the Consumer Duty is a game-changing new set of rules and guidance for financial services institutions in the UK, and companies must look to modernise their systems in adherence with it in mind to create the best customer experience possible.

From insight to action: Empowering financial institutions through advanced technology and collaborative information sharing
The use of Information sharing in enhancing financial crime prevention has been universally agreed as being beneficial. However no-one has been able to agree on how information can be shared safely without breaching data protection laws or having the right systems to facilitate this, Information sharing has re-emerged as a major consideration for financial institutions (FIs) ahead of the Economic Crime and Corporate Transparency Bill being made into law in the UK.