Understand what fraud analytics entail and how they leverage AI, machine learning, business intelligence and data science to improve fraud detection

Chief information officers are no longer back-office caretakers––they’re enabling business transformation through cloud, data, AI, and platform modernization

International banking leaders meeting at the FT Global Banking Summit found common challenges in adopting GenAI and managing its risks

FICO® Score 10T historical data to be released in advance of implementation by the GSEs

FICO® Focused Language Model and FICO® Focused Sequence Model set global standards for Responsible AI, delivering measurable enterprise value

A unified decisioning platform enforces development standards to ensure AI systems are built responsibly from the ground up

With changes underway at Fannie Mae and Freddie Mac, what could competition between credit score models mean for mortgage bankers?

The CIO’s Role in Achieving Responsible AI: Conduit in Chief

As visionary leaders Modern CIOs are the driving force in operationalizing the responsible use of artificial intelligence and generative artificial intelligence

Which works better for building credit risk models: using AI and machine learning or using traditional scorecards?

Here's how to get the full power of machine learning without losing the transparency that’s important from credit risk scorecards

Using FICO® Auto Score 10, Octane responsibly expands credit access and grows recreational financing by 36%.

GenAI hallucinations are primarily caused by the ways that large language models (LLMs) are built

We have built a data science organization that prizes creativity and operationalizes innovation for demonstrable business benefit and positive customer impact

Ethical AI means digging into what machine learning models are learning – which is a complex task