Bank executives at the Sibos conference this week discussed how they are using predictive analytics and other technologies, and the fintech partnerships that move them forward.

The payment company is using a new OpenAI tool to expand its shopping and customer service technology.

The Consumer Financial Protection Bureau issued guidance on the use of artificial intelligence in credit underwriting, saying that creditors are relying too heavily on a CFPB checklist and sample forms when they should provide specificity to explain why a consumer is denied credit.

A new model rates large banks on their efforts to develop and deploy artificial intelligence technology. 

Executives at Citizens Financial Group and community banks such as Seattle Bank and Citizens Bank of Edmond say there are potential use cases for large language models. Yet they have concerns that impersonal service and likely errors could erode customers' faith in their financial institutions.

The FBI, NSA and CISA highlighted the emerging dangers of AI-powered deepfakes in phishing campaigns and cataloged protections companies can deploy.

The bank is testing artificial intelligence tools that aim to detect possible signs of misconduct from the tone of traders' phone conversations.

Securities and Exchange Commission Chairman Gary Gensler told lawmakers that artificial intelligence could be used to game securities transactions in favor of corporate interests over those of investors. Critics say the SEC's plan to combat such conflicts of interest is hostile to technology.

Executives at the Columbus, Ohio-based regional bank were convinced by a presentation Veuu, the solution's developer, made earlier this year.

Ant Group unveiled an artificial intelligence tool to use for wealth management and insurance services, joining the race for next-generation AI.

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.