Digital Technology

To satisfy technology-driven customer expectations, financial services must become familiar with the latest innovations like AI, machine learning, and APIs.

Experian Boost gives consumers greater control over their credit profiles by allowing them to add non-traditional credit information to their Experian credit file.

Credit access for the masses, machine learning and fraud are among the top 5 trending topics for the financial services industry in 2019.

An analytics environment can have enterprise-wide impact. Instant access to customer data, actionable analytics and intelligence tools drive the most value.

Criminals constantly search and exploit weaknesses. In this digital age, protecting people fuels our commitment to identity protection and fraud prevention.

Gavin Harding, Senior Business Consultant, continues in this Q&A with insight that spans across all lenders and their use of alternative data.

Any analytical environment is only as good as the data you put into it. Check these four key features when choosing the right one for your organization.

At Experian, for machine learning, we use Extreme Gradient Boosting (XGBoost) implementation of Gradient Boosting Machines.

FinTechs first entered the marketplace as competitors, but as they grow, some have started to partner with traditional financial institutions.

Not only are personal loans are increasing, but so is the share of those loans originated by FinTechs is also growing quickly across all generations.

You want to use big data, but how do you make your analytics truly actionable to stay ahead of the competition? Using an analytical sandbox is the answer.

After Hurricane Florence, Experian is here to help. People can download our free Vehicle Flood Risk Check app.

Machine learning's ability to consume vast amounts of data to uncover patterns and deliver results makes it well suited for the credit risk industry

Change has certainly changed the consumer, and everyone seems to recognize this but collections professionals. See how digital collections is catching up and getting results.

There are more than 220 million credit-active consumers. Hear from a data expert on ways analysts can explore these files and dig into big data with ease.