The card network is creating a generative AI-powered chatbot to give small-business owners personalized assistance, emphasizing 'inclusive' resources and mentorship for minority entrepreneurs.

The anti-money-laundering systems that are automatically kicking customers out of their accounts need to be tempered with rich customer data, human involvement and perhaps quick requests for information from customers.

Users of large language models and generative artificial intelligence need to be aware of the content and data those models are trained on, and be wary of potential infringement of copyright law.

Eugene Ludwig, former Comptroller of the Currency and current co-founder of Canapi Ventures, a fintech VC, reflects on how 2023 treated fintechs, how far the fintech movement has come and what banks and their regulators need to look out for in 2024.

Readers clicked most on stories about what companies like Ally Bank and JPMorgan Chase are doing with artificial intelligence.

Banks cannot shrug off the impact of sudden account closures as inevitable collateral damage involved in fighting money laundering.

Arizent research shows that financial institutions will continue paying much closer attention to artificial intelligence next year.

The process allows artificial intelligence and machine learning to train on the data of many banks, without compromising customer privacy.

Banks, payment companies, mortgage lenders and insurance providers are racing to seize an advantage from generative artificial intelligence. Some have been especially aggressive in deciding which workflows — or entire jobs — can be handed off to AI.

Six North American banks did well in Evident's latest assessment of banks' AI efforts, but JPMorgan and Capital One have a clear lead.