As merchant acquiring models evolve, fraud management must expand beyond traditional transaction monitoring toward a broader view of ecosystem governance

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

Merchant acquirers now demand sophisticated onboarding automation, dynamic pricing intelligence, and predictive analytics to win and retain profitable merchant relationships

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

The path to hyper-personalization in collection strategies involves combining AI-driven decisioning and conversational AI

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

Improve customer management and reduce losses from check fraud by managing payment hold strategies using analytics

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

Organizations that have deployed integrated communications are unlocking higher engagement rates, faster time-to-promise and a smoother customer experience

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

Explore the 5 areas revolutionizing debt collection, including the importance of omni-channel communications

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

As defaults increase collections workload, the benefits of conversational AI can prioritize agents' work and lead to faster resolution

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