SEC Integrates AI and Machine Learning for Risk Assessment

The regulator began using machine learning after the 2008 financial crisis and is working on creating more machine-readable documents.

human-and-machine-work-together

Machine learning and artificial intelligence are helping the SEC speed up the process for identifying possible misconduct.

SEC acting director for the division of economic and risk analysis, and acting chief economist Scott Bauguess said during his keynote speech at the CyberRisk North America event in New York that the regulator has been working on integrating artificial intelligence into its examination process.

“The underlying science is remarkable and this data-driven approach makes it

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe

You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

FCA declines to directly regulate market data prices

A year-long investigation by the UK regulator to determine whether competition is hindered in the wholesale data markets has concluded with its decision not to directly regulate much-maligned data pricing and licensing structures.

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here