Scott Zoldi
FICO (Fair Isaac)
San Diego, CA, United States
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Past articles by Scott:
AI Governance: A Critical Component of Corporate ESG Initiatives
Helping organizations navigate the often-challenging implementation of Responsible AI as part of ESG efforts → Read More
VIDEO: The REAL Problems with AI – My Talk with Kate Crawford
Data bias and untrained data scientists pose risks to AI models - and the trust we place in business decisions → Read More
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 a found a solution to this problem. → Read More
Collaborative Profiling for Corporate Card Fraud Detection
Because corporate cards have different patterns than consumer cards, we tackled the corporate card fraud detection problem with collaborative profiling. → Read More
Kasparov on AI: Should We Be Afraid of AI? (Video)
At FICO World 2018, I sat down with Chess Grandmaster Garry Kasparov to discuss the hot topics in the world of AI, and asked: Should we be afraid of AI? → Read More
Kasparov on AI: When Deep Blue Beat Me (Video)
One of the landmark moments in the history of AI came 21 years ago, when Chess Grandmaster Garry Kasparov beat IBM's Deep Blue — and then was beaten by it. → Read More
Kasparov on AI: Why Is Explainable AI Important? (Video)
At FICO World 2018, I sat down with Chess Grandmaster Garry Kasparov to discuss hot topics in AI, and asked: Why is explainable AI so important? → Read More
Kasparov on AI: Can We Create Ethical AI? (Video)
At FICO World 2018, I sat down with Chess Grandmaster Garry Kasparov to discuss the hot topics in the world of AI, and asked: What do you think of ethical AI? → Read More
Vantiv, Now Worldpay: A Decision Management Maturity Rockstar!
Worldpay illustrates how companies can gain the benefits of becoming decision management “rockstars.” → Read More
Machine Learning Improves CNP Fraud Detection by 30%
FICO’s new machine learning models are much more sensitive to abnormal single transactions, allowing CNP fraud to be detected quickly. → Read More
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. → Read More
E-commerce Fraud: Machine Learning Speeds Detection
FICO's new CNP fraud detection models have been developed to detect fraudulent e-commerce fraud transactions faster, to prevent significant fraud loss. → Read More
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. → Read More
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. → Read More
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. → Read More
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. → Read More
Explainable AI Breaks Out of the Black Box
FICO has been pioneering Explainable AI for over 25 years, and we’ve seen various ways to explain AI when used in a risk or regulatory context. → Read More
How to Build Credit Risk Models Using AI and Machine Learning
Which works better for modeling credit risk: traditional scorecards or artificial intelligence and machine learning? → Read More
Rise of the (IoT) Machines: When Do We Say "Enough"?
Ceding too much responsibility to IoT devices robs us of everyday learning opportunities. → Read More
The Intelligence of Things: Streaming analytics comes to IoT
As IoT devices infiltrate many product ecosystems, they’re becoming more a part of our lives. I call it the “Intelligence of Things." → Read More