I recently had the opportunity to attend Money20/20 in Las Vegas, where one theme dominated nearly every conversation: artificial intelligence is reshaping financial services. But amid all the excitement around algorithms and technology, the data that powers it all often gets overlooked.
AI is only as effective and trustworthy as the data behind it. For financial institutions, high-quality, differentiated data determines how confidently they can assess creditworthiness, detect anomalies, and manage risk. Ultimately, it’s data that allows lenders to innovate responsibly, personalize experiences, and deliver better outcomes for consumers.
At Experian, we see measurable impact when institutions strengthen their data foundations. Our clients are making faster lending decisions, reducing default rates, and expanding access to credit through responsible, data-driven innovation.
Turning Better Data Into Better Decisions
Experian’s industry-leading core credit data, alternative credit data, cash flow insights, and more gives lenders a more holistic view of financial health. These differentiated data assets, combined with our history or continuous innovation, enable AI systems that are more transparent, explainable, and fair.
On example of this is our Experian Assistant for Model Risk Management, a new AI-powered capability that automates the most complex and time-intensive areas of compliance.
This solution continuously analyzes model documentation, detects model drift, and recommends corrective actions in real time. Ultimately, this is transforming compliance from a barrier to a driver of ROI and innovation that benefits consumers and businesses.
Bridging the Gap Between Innovation and Compliance
While at Money20/20, I had the opportunity to share more about how we are leveraging differentiated data and technology to help make room for innovation during an interview with Fintech Futures.
Reporter Tyler Pathe and I discussed the fact that many institutions still rely on manual processes for compliance — with some involving up to 50 people just to document and validate models. That level of inefficiency slows progress and increases operational risk.
Through automation and AI, and differentiated data at our foundation, we are changing this narrative and helping our clients move faster and innovate with confidence.
You can tune into my full interview with Fintech Futures below.