Machine learning

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.

The software, which was developed by Feedzai, will eventually block payments that appear to be fraudulent or mistaken.

Rich Baich, Wells Fargo's security chief and newly appointed security advisor to the White House, shares attack types he’s worried about and top defenses.