In the last few years, financial services providers and Regulatory Technology (RegTech) firms have talked a great deal about the deployment of new data-driven technologies, usually with a focus on automation and supervised machine learning to core compliance tasks such as sanctions screening and transaction monitoring. However, in spite of the competitiveness between RegTechs, platforms have sometimes been less advanced than they might seem, given their need to pass tight regulatory validation requirements.

In contrast, other industries and sectors are finding ambitious ways in which to leverage new technologies with fewer constraints. In healthcare, for example, providers are increasingly using more advanced supervised and unsupervised machine learning models, allowing Artificial Intelligence (AI) to play greater roles in decision-making in diagnosis and prescription. If a ‘trust but verify’ approach can be applied to human health, there are questions to ask about why we cannot take the same stance when it comes to financial crime risk.

In this session, our panel of experts will therefore take us beyond the boundaries of the FinCrime world, to explore the ways in which new technologies are being applied to other industries and sectors; consider how their techniques might be translated into the fight against financial crime; and review the ways in which FinCrime regulators too could learn from their counterparts in other sectors.


• Patrick Craig, EMEIA Financial Crime Technology Lead, EY


• Dr Janet Bastiman, Chief Data Scientist, Napier

• Dr Tolga Kurt, Managing Partner, H3M

• Richard Pugh, Chief Data Scientist, Mango Solutions (an Ascent Company)

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