Bank of England Validates Need for Explainable AI
The BoE's new report says explainable AI is necessary for machine learning to be applied in credit management
New Machine Learning Models Catch CNP Fraud Faster
As CNP fraud targets the online growth in luxury spending, new analytics improve the velocity of detection
Using Machine Learning to Improve Telecom Business Assurance
A groundbreaking collaboration for TM Forum shows how advanced analytics and open APIs can improve telecom business assurance
Account Takeover Fraud in Telecom – 4 Things to Watch
As CSPs have looked to introduce additional controls and checks at the front-end onboarding process, fraudsters have moved to account takeover fraud.
What Is Telecom Subscription Fraud?
Subscription fraud occurs when a fraudster uses their own, a stolen or a synthetic identity to obtain mobile devices and services with no intention to pay.
Ask Me Anything on AI: Highlights of My First Reddit AMA
“I’m Scott Zoldi and I’ve authored 95 patents on AI, machine learning and various analytic techniques. I’m Chief Analytics Officer of FICO. Ask me Anything.*
Deep Dive: How to Make "Black Box" Neural Networks Explainable
Neural networks are a powerful form of machine learning, but their black box nature often defies explainability. We have found a solution to this problem.
Fraud Analytics for Open Banking: Multi-Layered Self-Calibrating Models
Regarding fraud analytics for open banking, unsupervised machine learning can be a strong weapon for fighting financial crime events
Analytics Predictions 2019: Innovations for Ethical AI
My recent patent work has laid a foundation for what I predict will be the tech industry’s biggest development in 2019: ethical AI.
Fraud Analytics for Open Banking: Behavioral Profiling
Behavioral profiling approaches are extremely important in tackling fraud that happens when banks share financial data with third parties through application programming interfaces.
Machine Learning for AML Gives Pros “Superhuman” Powers
Uncovering hidden patterns in money movement makes machine learning for AML a very attractive enhancement to existing AML operations.
Advanced Analytics in Telecommunications: Why the Lag?
Our global survey with TM Forum demonstrates that many CSPs are at a relatively early stage of using advanced analytics in telecommunications — and European CSPs appear to be further behind.
New Analytics for Real-Time Payments Fraud
With a view to stopping real-time payments fraud, FICO recently released the Retail Banking Consumer fraud model.
How to Address Overpayment for Mobile Phones
Ofcom are currently consulting on how to address overpayment for mobile phones - is better customer communication the answer?
AI and Machine Learning for Financial Crime — Now on TV (Video)
I was interviewed recently for a new TV program called Tomorrow’s World Today, where I discussed how we are using AI and machine learning for financial crime protection.
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