Machine learning

ComplyAdvantage, Cinnamon and Zoovu recently raised millions of dollars to fuel expansion of their automated risk management, data-scanning and customer service products geared toward financial services companies.

To take full advantage of AI’s opportunities, employers must understand and overcome lingering doubts from their employees.

The bank and card program provider is starting to use AI in many areas, but it's also trying to build paths forward for employees whose jobs will be affected.

Technology companies have pushed machine learning as a way to combat a fraud threat that's increasing in size and sophistication, and there are signs emerging security innovation is making a difference.

A year after buying the artificial intelligence fintech Layer 6, TD Bank is "rewiring how the organization has worked," Gregory Braca says.

Policymakers need to update banking regulations to minimize the risks posed by technology companies entering financial services, a well-known policy analyst says in a new paper.

Banks use anti-money-laundering and fraud systems to try to catch scams that prey on senior citizens. A few, including Wells Fargo, are working on artificial intelligence that could spot them even earlier.

Data scientists from NASA, Google and hundreds of other places are working for financial firms in their spare time. Is this a good idea?

Bank technologists see the potential for AI in lending, money laundering detection, fraud and other areas. Regulators and bank executives insist on “explainability.”

As banks begin to use artificial intelligence in their businesses, they’ll need to consider the potential for bias as well as the impact new technologies will have on workers.