Visa’s AI edge: How RAG-as-a-service and deep learning are strengthening security and speeding up data retrieval

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Global payments giant Visa operates in 200-plus countries and territories, all with their own unique, complex rules and regulations. Its client services team must understand those nuances when policy-related questions come up — like ‘are we allowed to process this type of payment in this country?’ — but it’s simply not humanly possible to know all those answers top-of-mind. This means they’ve typically had to track down relevant information manually — an exhaustive process that can take days depending on how accessible it is. When generative AI emerged, Visa saw this as a perfect use case, applying retrieval-augmented generation (RAG) to not only pull out information up to 1,000X faster, but cite it back to its sources. “First of all, it’s better quality results,” Sam Hamilton, Visa’s SVP of data and AI, told VentureBeat. “It’s also latency, right? They ca ... Read full article.