AWS’s generative AI capabilities combine with Genpact’s deep digital, data, and domain expertise
Genpact (NYSE: G) has collaborated with Amazon Web Services, Inc. (AWS) aiming to transform financial crime risk operations, leveraging generative AI and large language models (LLMs). Integrating Genpact’s proprietary cloud-based financial crime suite, riskCanvas™, with Amazon Bedrock, has aimed at accelerating efficiencies and impact for clients such as Apex Fintech Solutions.
Amazon Bedrock is a fully managed service that enables developers to test, integrate, and deploy industry-leading foundation models (FMs) via an application programming interface (API) and customize the models to best suit their unique use cases.
Building on its existing relationship with AWS, Genpact is now combining its intellectual property and deep industry expertise with AWS’s generative AI capabilities. Using approved client data from the secure riskCanvas ecosystem, combined with Amazon Bedrock's secure data handling, enables the generation of highly accurate outcomes while maintaining data protection across clients.
"Financial criminals are constantly innovating, which means financial services companies need to use advanced digital technologies to stay one step ahead of them,” said Justin Morgan, head of Financial Crimes Compliance at Apex Fintech Solutions. “With the addition of generative AI features to Genpact’s riskCanvas, our analysts will be able to produce Suspicious Activity Report (SAR) narratives and case summaries at the click of a button using inputs from millions of data points.
“Responsible AI is a core consideration in AI implementation and its importance will continue to increase,” said Atul Deo, general manager, Amazon Bedrock at AWS. “Amazon Bedrock is rooted in secure data handling, encrypting all data and allowing users to customize models privately. Integrated with Genpact’s riskCanvas, this powerful combination enables our mutual customers to enhance productivity in investigating, detecting, and preventing financial crime threats.”
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