Mastercard Uses AWS AI and ML Services to Detect and Prevent Fraud

Learn how Itaú, Latin America’s largest bank, improved speed to market for ML models using Amazon SageMaker Studio.

For the tightly regulated financial services industry, staying compliant with regulations is a constant challenge. The compliance team at Parameta, a division of global markets and data solutions provider TP ICAP, spent hours manually reviewing the Benchmarks Regulation and assessing whether its products and documentation were up to par. Seeking a more efficient solution, Parameta began to explore generative artificial intelligence (AI) on Amazon Web Services (AWS).

Mazzuma, a Ghana-based startup, is working to provide greater access to artificial intelligence (AI) and blockchain technology. “We want to use our generative AI project to democratize AI—giving access to people who do not have the kind of expertise or research background to build language models at scale,” says Nii Osae, cofounder and director of software engineering at Mazzuma. The company built a generative AI app, MazzumaGPT, using Amazon Web Services (AWS) and Amazon SageMaker—a service to build, train, and deploy machine learning (ML) models for virtually any use case with fully managed infrastructure, tools, and workflows. By using AWS, Mazzuma created this tool in months at low cost, and MazzumaGPT is now serving developers in 85 countries around the world.

Learn how nCino is unleashing the power of Anthropic's Claude in Amazon Bedrock to transform financial services.