Machine learning

Some banks are looking at how to translate the complicated and document-heavy mortgage lending process into the digital world of voice-interactive personal assistants.

Some banks are experimenting with virtual assistants that, going beyond the routine tasks they perform today, could offer investment advice or make mortgage loans 24/7. But will they ever be able to talk a nervous client through a market crash?

U.S. Bank has begun using Einstein, Salesforce’s AI software, to give front-line staff insights into customer activity and recommendations. Other banks are likely to add similar tools.

Convinced that clients want as much human interaction as ever, the Wall Street firm is using machine learning to help its financial advisers stay informed and work efficiently.

The image of traditional custody banks is as stodgy as it gets, but some are using machine learning to help their clients and their own research teams glean insights from massive amounts of data.

It also plans to deploy the startup’s technology that analyzes data and offers predictive advice.

The hype surrounding voice technology, bots and machine learning suggests that artificial intelligence is increasingly common in financial services. But that is not the purist’s view of what AI represents.

The megabank is looking to robotics and machine learning to save time and money.

The use of artificial intelligence in capital markets is predicted to displace people all over the Street. At the same time, a few new jobs will be created.

Host Brett King reports from this week's LendIt conference in New York.