Assume faucet to pay — however smarter and safer. Visa is tapping into AI to reinforce companies for its international community of consumers, targeted on fraud prevention, personalization and agentic commerce.
Sarah Laszlo, senior director of Visa’s machine studying platform, joined the AI Podcast to debate how synthetic intelligence is powering the subsequent technology of fee experiences.
Visa processes lots of of billions of transactions annually, so even small technological enhancements can have a big affect.
The corporate prevents $40 billion in fraud yearly. “There’s a lot tried fraud that, regardless that we’re excellent at stopping it, marginal enhancements save massive greenback quantities,” Laszlo mentioned.
AI additionally powers Visa’s personalization programs, delivering smarter, extra related presents and proposals to cardholders. The corporate’s distinctive dataset presents an enormous alternative to enhance transaction predictions — but in addition brings privateness challenges.
“The important thing to addressing these challenges is constructing summary representations of customers — embeddings that seize preferences with out exposing personal knowledge,” Laszlo mentioned.
The corporate can also be working towards agentic commerce — the place AI brokers assist prospects with funds. For instance, AI brokers with entry to fee credentials can deal with transactions on behalf of shoppers, like reserving journey preparations, when instructed.
Laszlo shared greatest practices for enterprises adopting generative AI. She additionally advisable utilizing open-source fashions when attainable and creating sturdy relationships between governance and technical groups. In a single success story, Visa used GPT-4 to transform legacy code to Python, saving $5 million, with only one engineer finishing 50 conversion jobs in 1 / 4.
To be taught extra, watch Laszlo’s GTC session, The Subsequent Period of Funds: How Generative AI is Shaping the Future.
Time Stamps
03:28 – Visa’s priorities for AI use.
07:09 – How Visa optimizes sources utilizing digital GPUs.
14:42 – AI factories and unified pipelines.
18:52 – Greatest practices for AI in monetary companies.
You May Additionally Like…
NVIDIA’s Jacob Liberman on Bringing Agentic AI to Enterprises
Agentic AI allows builders to create clever multi-agent programs that purpose, act and execute complicated duties with a level of autonomy. Jacob Liberman, director of product administration at NVIDIA, explains how agentic AI bridges the hole between highly effective AI fashions and sensible enterprise purposes.
Firsthand’s Jon Heller Shares How AI Brokers Improve Client Journeys in Retail
Jon Heller, co-CEO and founding father of Firsthand, discusses how the corporate’s Model Brokers are reworking the retail panorama by personalizing buyer journeys, changing advertising and marketing interactions into beneficial analysis knowledge and enhancing the shopper expertise with hyper-personalized insights and proposals.
Telenor opened Norway’s first AI manufacturing unit in November 2024, enabling organizations to course of delicate knowledge securely on Norwegian soil whereas prioritizing environmental duty. Telenor’s Chief Innovation Officer and Head of the AI Manufacturing unit Kaaren Hilsen discusses the AI manufacturing unit’s speedy improvement, going from idea to actuality in underneath a 12 months.
