Unsupervised Learning Part 2: The AML Connection
Today’s post covers three categories of unsupervised learning that FICO has investigated, refined and put into our anti-money laundering (AML) solutions.
E-Commerce Fraud: Machine Learning Speeds Detection
FICO's new CNP fraud detection models have been developed to detect fraudulent e-commerce fraud transactions as quickly as possible, to prevent significant fraud loss from an account.
Today’s Deep Dive: Innovative Unsupervised Learning in AI
This two-part blog unpacks the mysteries of two very different AI techniques: supervised and unsupervised learning.
IoT: Will Your Car Let You Drive Home from the Bar?
In my new post on TechTarget's IoT Agenda, I explore how behavioral analytics could change driving for the better.
Analytic Predictions 2018: 31 Flavors of AI
Here are some of the top things I think we'll see among the 31+ flavors of AI in 2018.
Using AI and Machine Learning to Improve AML
My talk focused on using machine learning and AI-driven analytics to take AML beyond what transaction monitoring, rules-based systems can do.
We Need Defensive AI to Protect Us From AI Attacks
My recent work at FICO to make AI better has drawn upon my background in theoretical physics to create what we call defensive AI. This is needed, because AI-based attacks are not science fiction — they are happening today.
Explainable AI in Fraud Detection - A Back to the Future Story
Explainable AI has become a hot topic in light of the European Union’s GDPR and society’s increasing reliance on AI systems. How does one of FICO's original Explainable AI innovations stack up?
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