Cognitive Computing Advances Driving Surveillance for Banks, Expectations for Regulators

Banks are increasingly adopting new machine learning techniques for compliance and surveillance, but should be wary of setting expectations too high.

Surveillance technologies based on machine learning bring many benefits but financial firms must be aware of the inherent risks that will also be introduced.

The deployment of machine learning and other cognitive computing techniques are driving greater sophistication in sell-side surveillance efforts, according to panelists at his year’s WatersTechnology Innovation Summit in London, which are introducing greater efficiencies and reducing costs compared to manual-intensive surveillance processes.

“Now we have various different platforms that you can plug in and everything works in one direction,” said Steve Fribbens, head of compliance surveillance

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