Experian Assistant for Model Risk Management won the prestigious 2026 BIG Innovation Award from the Business Intelligence Group. This high-performance AI tool facilitates financial institutions in managing their validation processes. The tool enhances how organizations manage the entire lifecycle of an analytical model. Consequently, there is enhanced identification of potential risks, and there is compliance with regulations at an increased speed. The tool accomplishes this through the utilization of generative AI in the automation of the processes of documentation. Of importance, this tool reduces the workload for risk managers and data scientists. This award is a recognition of the organization’s commitment to innovation. In the field of finance, by deploying state-of-the-art AI tools. Secondly, the tool addresses the increasing demand for transparency of AI-driven decisions.
“The AI-enabled speed of data analytics and model development is driving unprecedented business opportunities. For financial institutions, but it comes. With a significant challenge: global regulations that require time-consuming documentation,” said Vijay Mehta, EVP, Global Solutions & Analytics, Experian Software Solutions. “Experian Assistant for Model Risk Management helps solve this labor- and resource-intensive requirement. With end-to-end model documentation automation, this award recognizes this value to our customers.”
Enhancing Compliance and Risk Management with Explainable AI
The Business Intelligence Group chooses the winners based on the problems they are able to solve effectively through innovation. The judges commended the platform for its simplicity and strength of analysis. Moreover, the platform ensures real-time alert systems, which prevent model drift. Financial companies can adopt the model without compromising their safety. Indeed, the success of the platform has made the company a benchmark in the evolving financial technology space. Overall, the assistant is creating a resilient digital economy.
“Experian Assistant for Model Risk Management solves a very real pain point. For financial institutions, by offering scalable and explainable AI across the credit and risk lifecycle,” said Mehta. “With it, they can modernize their model documentation & risk practices and keep pace with fast-evolving AI technologies and regulatory requirements.”
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News Source: Businesswire.com
