Decision Management Maturity: Raise Yours at FICO World
The DM3 provides an accurate and actionable segmentation of users and businesses against their current capabilities, requirements, skills and end-state objectives.
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Scott Zoldi
Dr. Scott Zoldi is chief analytics officer at FICO, responsible for artificial intelligence (AI) and analytic innovation across FICO's product and technology solutions. While at FICO, he has authored more than 120+ analytic patents, with 80 granted and 47 pending. Scott is an industry leader at the forefront of Responsible AI, and an outspoken proponent of AI governance and regulation. His groundbreaking work in AI model development governance, including a patented use of blockchain technology for this application, has helped propel Scott to AI visionary status, with recent awards received including a Future Thinking Award at Corinium Global’s Business of Data Gala. Scott serves on the Boards of Directors of Software San Diego and San Diego Cyber Center of Excellence. He received his Ph.D. degree in theoretical and computational physics from Duke University.
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Machine Learning Improves CNP Fraud Detection Rates by 30%*
FICO’s new machine learning models are much more sensitive to abnormal single transactions, allowing CNP fraud to be detected quickly.
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Origination Scores: Say “Yes” to More Credit Applicants
Origination scores add significant value above and beyond the FICO® Score, which is based solely on the data found in a consumer’s credit bureau file.
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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.
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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 accou…
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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.
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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.
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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.
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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.
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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 s…
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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 innovati…
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My Top 10 Attributes of a Data Leader
A recent article in Information Age named 10 attributes of data leader. Each of the experts quoted discussed just one attribute — in my case, it was separating hype from potential,…
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