How to Improve Collection Decision Strategies with Analytics
Predictive analytics, optimization and omni-channel communications can transform collections strategy efficiency and performance
What Are Fraud Analytics and How Do They Improve Fraud Detection?
Understand what fraud analytics entail and how they leverage AI, machine learning, business intelligence and data science to improve fraud detection
Omnichannel Communications Help Banks Serve the Neurodivergent
For neurodivergent people struggling with debt, such as those with ADHD or autism, an omnichannel approach helps them meet payment deadlines and keep debt under control
FICO Focused Foundation Model Delivers Trustworthy, Responsible GenAI
FICO® Focused Language Model and FICO® Focused Sequence Model set global standards for Responsible AI, delivering measurable enterprise value
Operationalizing Responsible AI Standards: Why a Platform Approach Matters
A unified decisioning platform enforces development standards to ensure AI systems are built responsibly from the ground up
Debt Collection Strategies: Solve the 6 Toughest Challenges
More effective debt collection strategies using optimization create a strategic advantage that builds customer loyalty and drives long-term profitability
Debt Collection Predictive Analytics: Benefits, Types and Uses
Discover how debt collection predictive analytics boosts recovery, cuts costs, and personalizes strategies with AI-driven models and case studies
Collection Strategies: Best Practices for the Digital Age
Omni-channel communications, analytics and optimization are bringing greater targeting to debt collection strategies, improving results and customer relationships
The Future of Fraud Protection: From Platforms to Agentic AI
A new report from Chartis Research shines a spotlight on how fraud platforms, GenAI, agentic AI and real-time payments are driving fraud protection forward
How to Build Credit Risk Models Using AI and Machine Learning
Which works better for building credit risk models: using AI and machine learning or using traditional scorecards?
Combining Machine Learning with Credit Risk Scorecards
Here's how to get the full power of machine learning without losing the transparency that’s important from credit risk scorecards
Worried about Gen AI Hallucinations? Using Focused Language Models is an Imaginative—and Proven—Solution
GenAI hallucinations are primarily caused by the ways that large language models (LLMs) are built
Reflections on Innovation: 101 AI and Software Patents Granted
We have built a data science organization that prizes creativity and operationalizes innovation for demonstrable business benefit and positive customer impact
Artificial Intelligence Explained: What Is Ethical AI?
Ethical AI means digging into what machine learning models are learning – which is a complex task
2025 Predictions for AI and GenAI: The Golden Age of AI – and How to Keep the Goose Golden
As companies drive breakthrough results with AI in 2025, operationalization and trust are attainable imperatives
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