Quants Say Internal Data will Unlock AI’s Full Potential

At this year's North American Financial Information Summit, industry experts talked about the importance of sourcing and using internal data to find alpha.

“On the trading side, to say you’re using machine learning is like saying, ‘I’m using tools to build a house’—it’s just a given at this point. This is not something that we’re toying with, playing with, don’t know how to monetize—this has been, for quite some time, very real,” said Hedge, a quantitative trading architect at Societe Generale, who was speaking at this year’s North American Financial Information Summit, held in New York on May 23.

Where the industry is still on the hype cycle, he

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 [email protected] or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

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: