Analytics Model Management: 7 Best Practices to Improve Compliance, Reporting and Performance
These best practices can help you not just meet regulators’ requirements but also increase the value your models add to the business
How to Use Alternative Data in Credit Risk Analytics
Here is useful information on how to assess alternative data and combine it with so-called traditional data to improve credit risk analytics
How to Tame Credit Originations Complexity and Data Overload
With the right technology it is now possible to drive out manual or high-friction interventions and offer seamless, near-instant credit decisions across multiple sales channels
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
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
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
The Impact of Regulation on Collections and Customer Care
This FICO World presentation highlights the vital importance of balancing customer care with collections success in a highly regulated environment
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
How to Use Blockchain to Build Responsible AI: An Award-Winning Approach
FICO’s use of blockchain to develop artificial intelligence is recognized in awards from Global Finance and the Banking Tech Awards
What Is Responsible AI? Four Important Principles
Responsible AI includes four principles for ensuring that AI is safe, trustworthy and unbiased - it should be robust, explainable, ethical and auditable
How to Meet New Model Risk Management Guidelines
A new supervisory statement from the Bank of England suggests stronger controls are needed, and the principles are good guidance for banks globally
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