The bank has been deploying artificial intelligence in every business line, conducting research to find out what consumers think about the technology, and holding a roundtable with experts to define "responsible" AI.

Credit unions have traditionally struggled to access analytics due to limited resources but that is now beginning to change thanks to recent advances.

Credit decisions were a natural place to start with artificial intelligence, but now banks and credit unions are taking the technology to all parts of their businesses.

Changes in consumer behavior patterns will force banks to reassess the information they use to attract customers.

Numerated, a vendor of loan prospecting, marketing and underwriting software that was developed within Eastern Bank, now has $32 million.

Enova has used AI in credit decisions for years. Now it’s having AI do the work of document verification, know-your-customer checks and more.

Tina Eide, Amex's senior vice president of global fraud, discusses the card issuer's efforts to strengthen its transaction monitoring.

Just as AI technology is being leveraged by hackers to create botnet armies, it can be utilized by organizations to better detect these very attacks, writes Imperva's Terry Ray.

Sherry Comes, managing director in conversational AI at Deloitte Consulting, says banking in the future will take place through a home, car or phone speaker.

Banks are using Receptiviti’s software to find signs of stress, collusion and questionable sales practices among employees.

Blooma has developed a software product that combs databases to create property profiles for commercial real estate lenders. It can drastically cut origination costs and approval times and help banks identify safer loans, the company says.

Capacity, formerly Jane.ai, originally designed its chatbot to answer consumers' questions, but when employees started using it, that gave the startup an idea for a new business line.

Agencies like Fincen and Finra that use machine learning must pay close attention to potential bias in supervisory algorithms, especially with data on women and minorities.

The bank is moving a large analytics program and a massive amount of data into Google's public cloud, which its tech chief says is more efficient, secure and better able to handle spikes in demand.

The technology can help banks get the most out of the vast amounts of information at their disposal.

From housing finance to Facebook’s crypto plans, moderators questioning the presidential candidates in Texas next month would have no shortage of financial policy topics from which to pick.

U.S. financial stocks are down nearly 4% this week on rate pressure, but it’s even worse for European banks; the mutual fund giant will automatically sweep investor cash into a money fund yielding 1.9%.

Virtual assistants are being brought forward into a variety of other internet-of-things devices such as automobiles and appliances, with the goal of finding new moments where consumers are willing to spend money — sometimes guided by machine learning.

Banks need to mitigate potential bias in algorithmic predictive models using artificial intelligence, as regulators are weighing how to oversee the emerging technology.

The payments system, called FedNow, would go head-to-head against one built by big banks; the senator from Oregon wants Amazon to address vulnerabilities in its cloud data storage.