Artificial intelligence is on the cusp of solving some of the most chronic problems facing bank managers. They need to embrace it.

Financial institutions must adopt generative AI and large language models, or risk falling behind, experts said.

Investment in machine learning is outpacing consumer interest on the ground. Here's what companies like FIS and Marqeta are doing while waiting for demand to catch up.

Banks handle vast amounts of data, and understanding and making the most of that data is key to staying competitive.

No matter how good generative artificial intelligence gets, consumers navigating the purchase of complex financial products will always demand the attention of expert human advisors.

The bank developed its cloud-based Ally.ai platform within months. Now it has rolled out its first use case: summarizing customer service calls so the agent doesn't have to multitask.

Software can help banks move computing workloads to geographic regions where clean energy is available.

A pair of recently launched products use generative AI to actively train people on cybersecurity through the use of live simulations of real attacks.

The firms are increasingly seeking to integrate generative artificial intelligence into their products, and banks are potentially interested customers. But such efforts are costly, the risks are high and "they want to make sure that they get it right," experts say.

Through the power of digital technology and artificial intelligence, regulators around the world could revolutionize the way banks' call reports are filed, providing them with real-time information.

Artificial intelligence can and should be integrated into the business of banking, but with adequate safeguards in place to mitigate the technology's potential vulnerabilities.

The release of two malicious language models — WormGPT and FraudGPT — demonstrate attackers' evolving capability to harness language models for criminal activities.

Generative artificial intelligence could make it possible for borrowers to understand how their behavior reflects their creditworthiness, and create better outcomes for everyone.

In July's roundup of American Banker's favorite stories: A Zelle outage at JPMorgan Chase could cause headaches for other banks, talking points for understanding FedNow, the Elkhart, Kansas-based Heartland Tri-State Bank is shuttered by the Federal Deposit Insurance Corp. and more.

Cloud giants are making major investments in generative AI and large language models. Their financial services clients are mostly in test-and-learn mode.

Artificial intelligence and machine learning are already revolutionizing some elements of the business, but a human ability to "read between the lines" will always be needed.