Artificial intelligence
The payments company launched a $100 million fund for generative AI, creating a potential group of partners that can build on the card network's global scale.
-
Financial institutions are generally familiar with ChatGPT, but other options exist such as language models sold by Anthropic and Cohere. Research firms, academics and others are racing to develop benchmarks for comparison shopping.
September 28 -
Through its commitment of up to $4 billion in Anthropic, the e-commerce giant can bring advanced analysis, shopping and checkout tech closer to the point of sale — and farther away from traditional transaction processors.
September 28
-
AB - TechnologyBanks need to — and can — take steps to manage the phenomenon, first defined by a Japanese academic in the 1970s, where artificial intelligence looks, feels or sounds human and gives customers a creepy feeling, experts say.
September 25 -
At the Sibos conference, cybersecurity leaders at banks and other experts debated how to train employees to thwart threats that AI has intensified.
September 22 -
AB - TechnologyIt's still too soon to say exactly how the use of advanced artificial intelligence will be restricted in financial services, but banks are developing strategies mindful of potential policies.
September 21 -
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.
September 20 -
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.
September 19 -
AB - TechnologyA new model rates large banks on their efforts to develop and deploy artificial intelligence technology.
September 14 -
AB - TechnologyExecutives 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.
September 14
