Experian is committed to using data as a force for good. We continue to explore new ways to harness our data and resources to drive financial inclusion, facilitate access to fair and affordable credit for consumers and help them improve their financial well-being. Read about our latest data news below:
Today at Money 20/20 in Las Vegas, Experian unveiled Experian Assistant, a groundbreaking toolset that transforms analytics and modeling for financial institutions. By leveraging Generative AI (GenAI), this revolutionary solution slashes model development turning months-long processes into days—or even hours. Positioned as a game-changer, Experian Assistant offers businesses the equivalent of a seasoned expert, guiding them through complex use cases with ease and redefining how financial organizations approach data-driven insights. Revolutionizing Modeling with Generative AI Experian Assistant marks a significant leap forward in how businesses handle the modeling lifecycle. Integrated into the Experian Ascend Technology Platform™, Experian Assistant is designed to streamline data analytics processes, enhance accuracy, and promote efficiency. This debut underscores Experian’s commitment to responsible AI innovation, ensuring that organizations benefit from advanced analytics without compromising on privacy or ethical standards. “Many financial institutions are looking to invest in new generative AI use cases, often focused on banker specific support,” said Craig Focardi, Principal Analyst at Celent. “Experian Assistant focuses on developer support to accelerate the development lifecycle by having a digital model building consultant available to users.” Empowering Data Scientists and Analysts With its powerful natural language processing (NLP) capabilities, Experian Assistant is reshaping how data scientists and analysts approach complex tasks. Traditionally, navigating large datasets and building models required extensive technical expertise. But now, Experian Assistant allows users to query data, write code, and build models in plain language—democratizing access to sophisticated analytics. The tool not only boosts productivity but also fosters collaboration and accessibility. This innovation will drive financial inclusion by broadening access to data-driven insights and responsible use of data across organizations. Developed in Collaboration with Leading Financial Institutions A standout feature of Experian Assistant is its development in close partnership with the world’s largest financial institutions. This collaboration ensures that the tool is finely tuned to real-world challenges, delivering deep insights into Experian’s data assets. By optimizing analytics processes, businesses can achieve proven cost savings, enhanced data visibility, and faster product deployment. Continental Finance Company, for example, reduced data-building time by a remarkable 75% after adopting Experian Assistant. This kind of impact highlights the tool’s ability to accelerate model development while maintaining strict data privacy standards—a vital consideration for financial institutions. Advanced Compliance and Transparency In today’s highly regulated environment, businesses must not only meet compliance standards but also provide transparency into their processes. Experian Assistant is designed with these needs in mind, offering advanced features that support regulatory reporting, identity management, risk assessments, and transaction monitoring. A Competitive Edge through GenAI With more than a decade of AI expertise, Experian is leading the charge in responsible AI development. At Money 20/20, Experian Assistant stood out as a testament to this leadership. The tool is positioned to offer financial institutions a competitive edge, improving risk assessment, enhancing customer experiences, and promoting financial inclusion. As the financial services industry continues to evolve, businesses that embrace GenAI solutions like Experian Assistant will be better positioned to succeed. This groundbreaking tool is not just an enhancement—it’s a fundamental shift in how analytics and modeling are conducted, offering the speed, accuracy, and transparency that today’s market demands. ...
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