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.

The New York based Petal uses machine learning to optimize the limited financial data available for low-information consumer groups and millennials, who often turn to installment loans from companies such as Affirm, Klarna and PayPal Credit.

Many bankers say they’re more comfortable with using artificial intelligence behind the scenes, but others — including Synchrony and Wells Fargo — insist AI can be used to interact with customers if it’s deployed properly.

There are concerns that artificial intelligence could erase jobs across financial firms, but it will actually benefit employees by cutting rote tasks, giving them time to focus on more fulfilling work.

The data aggregator has purchased Abe AI and plans to use the artificial intelligence firm's technology in a host of applications.

The core-banking vendor won the investment and ringing endorsements from the trade group and several banks because its open system and cloud delivery could eventually challenge entrenched tech players.

In recent years, new machine learning algorithms and big data have reduced fraud losses to an extent — however, their impact has been relatively limited, in part because the industry has been reluctant to use them. But the use of such technology is soon likely to become far more widespread in the U.K., and across the EU.

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

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One of the concerns for no-cashier stores, beyond how well they work, is that they must also be placed in the middle of tech-friendly cities, where retail space comes at a high cost.

Robotic process automation is said to have a high return on investment, but adopting it on a large scale has proven challenging, especially at community banks.

In venturing into what's normally a province of large banks, nbkc in Kansas City, Mo., discovered innovative tax-management and other products that it could offer to its own customers or sell to other banks.

A machine learning-driven analysis can aid with risk, financial performance and fraud prevention, according to Anant Kale, founder and CEO of AppZen.

Banks and payment companies are already comfortable using artificial intelligence to guard against fraud. The tech could soon be just as welcome in creating payment products and matching them to potential customers.

The accounts — which eschew paper checks and overdraft protection — appeal beyond the low-income customers they were intended for; lenders are embracing artificial intelligence systems to analyze more data to determine creditworthiness.

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

A Colorado businessman's request for a preliminary injunction to stop the bank from using the name “Erica” has been denied. The overall case could still go to trial, but skeptical comments by the judge suggest BofA will likely prevail.

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.