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
Debit Card Compromise in 2024: Events Up, Number of Compromised Cards Down
Debit card skimming in the US in 2024 was a mixed bag, with increases in reported incidents but decreases in total number of compromised cards
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
Survey: Banks Face Regulatory Changes, Increased Liability for Scam Fraud
Banks face increasing scam liabilities worldwide as regulators change reimbursement requirements, while consumers signal willingness to complain to regulators and banks
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
Survey: Real-time Intervention Is Key to Scam Protection
Consumers are facing rising scam exposure and losses, but banks can use a variety of tools to help fight the criminals and protect their customers
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
Survey: Consumers Want Better Scam Prevention from Banks
Real-time payments (RTP) are growing in adoption and usage, and so is fraud - consumers want greater scam prevention from banks
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
Fraud Prevention: UBS Card Center Wins with FICO for 25 Years
Swiss card issuer has seen remarkable results in fraud prevention using FICO Falcon Fraud Manager for a quarter century
An Ecosystem to Detect and Prevent Real-Time Payments Fraud
A panel of experts at FICO World explored the rapid growth and fraud challenges of real-time payments fraud, and what’s being done to address it
Navigating the Wild AI with Dr. Scott Zoldi
Exploring artificial intelligence with industry leaders in legal, open banking, and education fields, including Shana Simmons, Robert Knight, and Stephanie Miller
Responsible AI and Why AI Governance Matters
My recent presentation at the World AI Cannes Festival with Uri Tintore of Belvo shed a light on Responsible AI, transaction analytics and open banking
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