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    Scott Zoldi

    Scott Zoldi

    All posts by Scott Zoldi

    Scott Zoldi is chief analytics officer at FICO responsible for the analytic development of FICO's product and technology solutions. While at FICO, Scott has been responsible for authoring 80 analytic patents with 48 patents granted and 53 in process. Scott is actively involved in the development of new analytic products and Big Data analytics applications, many of which leverage new streaming analytic innovations such as adaptive analytics, collaborative profiling and self-calibrating analytics. Scott is most recently focused on the applications of streaming self-learning analytics for real-time detection of cyber security attacks. Scott serves on two boards of directors, Software San Diego and Cyber Center of Excellence. Scott received his Ph.D. in theoretical and computational physics from Duke University.

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    • Detecting Prepaid Card Fraud: A Multi-Layered Approach Detecting Prepaid Card Fraud: A Multi-Layered Approach
      Detecting Prepaid Card Fraud: A Multi-Layered Approach
      March 18, 2020
      Fraud Protection & Compliance

      As I recently blogged, the use of prepaid cards is growing, in forms ranging from one-time gift cards to reloadable payment mechanisms for benefit distribution. In that blog I introduced FICO’s patented Multi-Layered Self-Calibrating (MLSC) fraud model, which we have successfully deployed to overcome regional- and usage-specific variations in normal prepaid card spend…

      Scott Zoldi by Scott Zoldi
    • VIDEO: The REAL Problems with AI – My Talk with Kate Crawford VIDEO: The REAL Problems with AI – My Talk with Kate Crawford
      VIDEO: The REAL Problems with AI – My Talk with Kate Crawford
      March 12, 2020
      Decision Management

      In the world of AI and machine learning, it’s common to hear fear-based statements in the media, or from your neighbors, about what the poor decisions unchecked algorithms might make — everything from denying you credit to launching nuclear missiles. What most people rarely hear about are the actual challenges that cause AI practitioners to worry. At FICO World 201…

      Scott Zoldi by Scott Zoldi
    • FICO Fights Prepaid Card Fraud with AI and Machine Learning FICO Fights Prepaid Card Fraud with AI and Machine Learning
      FICO Fights Prepaid Card Fraud with AI and Machine Learning
      March 09, 2020
      Fraud Protection & Compliance

      For a while now, it seems that every drugstore in the U.S. has become a prepaid card store, with rows and rows of gift and other prepaid debit cards on display. It’s no illusion––prepaid services are one of the fastest-growing segments of the financial payments industry. In April 2019 The Wall Street Journal reported, “The total amount loaded on general-use prepaid ca…

      Scott Zoldi by Scott Zoldi
    • How Big Is the Rideshare Fraud Problem? How Big Is the Rideshare Fraud Problem?
      How Big Is the Rideshare Fraud Problem?
      February 24, 2020
      Fraud Protection & Compliance

      In just a decade, ridesharing services like Uber and Lyft have changed the way people get around. Hailing a cab or driving yourself has morphed into requesting a pickup on an app from these and other peer-to-peer transportation network companies (TNC). But has this shift in consumer habits created a growing rideshare fraud problem? Using large data sets gathered fr…

      Scott Zoldi by Scott Zoldi
    • AI Predictions 2020: Artificial Intelligence Grows Up AI Predictions 2020: Artificial Intelligence Grows Up
      AI Predictions 2020: Artificial Intelligence Grows Up
      January 31, 2020
      Decision Management

      For the past couple of years artificial intelligence (AI) has been the enfant terrible of the business world, a technology full of unconventional and controversial behavior that has shocked, provoked and enchanted audiences worldwide. In 2020, that’s all going to change. In 2020, I predict that AI is going to grow up, encountering new demands in the areas of responsib…

      Scott Zoldi by Scott Zoldi
    • UK Fraud Trends: Improving Detection Under PSD2 UK Fraud Trends: Improving Detection Under PSD2
      UK Fraud Trends: Improving Detection Under PSD2
      December 18, 2019
      Fraud Protection & Compliance

      Card-not-present (CNP) transactions, which are primarily conducted online, have quickly become the most common transactions made among consumers. They’re also the most common target for fraudsters. In anticipation of a dramatic increase in CNP fraud, several years ago FICO implemented new machine learning technologies in the FICO® Falcon Fraud Platform to better ca…

      Scott Zoldi by Scott Zoldi
    • Detecting More CNP Card Fraud Detecting More CNP Card Fraud
      Detecting More CNP Card Fraud
      October 31, 2019
      Fraud Protection & Compliance

      As the adoption of EMV chip card technology has fueled a move to card not present (CNP) fraud, FICO analytic scientists are keenly focused on improving FICO® Falcon models’ CNP fraud detection. Specifically, the team has focused on early detection of fraud on events with significant financial risk, such as high-value CNP fraud, as well as driving significant improveme…

      Scott Zoldi by Scott Zoldi
    • Bank of England Validates Need for Explainable AI Bank of England Validates Need for Explainable AI
      Bank of England Validates Need for Explainable AI
      September 09, 2019
      Decision Management

      Last month, the Bank of England joined the ranks of those that have expressed interest in machine learning, along with reservations about its potential pitfalls. In Staff Working Paper No. 816: Machine learning explainability in finance: an application to default risk analysis, the authors make the following observations: ML and AI suffer from a black box proble…

      Scott Zoldi by Scott Zoldi
    • Artificial Intelligence Explained: What Is Ethical AI? Artificial Intelligence Explained: What Is Ethical AI?
      Artificial Intelligence Explained: What Is Ethical AI?
      September 03, 2019
      Decision Management

      There is a lot of controversy in business circles as to whether companies are using artificial intelligence (AI) technology for unethical purposes, or unknowingly doing so. This post isn’t about that - it's about what ethical AI means for model development. One of the most common misperceptions I hear about bias is, “If I don’t use age, gender or race, or similar f…

      Scott Zoldi by Scott Zoldi
    • New Machine Learning Models Catch CNP Fraud Faster New Machine Learning Models Catch CNP Fraud Faster
      New Machine Learning Models Catch CNP Fraud Faster
      August 14, 2019
      Fraud Protection & Compliance

      With eCommerce driving 39% of luxury sales growth in 2017, a number that is expected to rise to 59% by 2023, even venerable brick-and-mortar retailers are succumbing to the heat. In New York City, retail icons Barneys New York and Dean & Deluca are in bankruptcy, victims of rising rents and a dramatic increase in online purchases of luxury goods. Those online p…

      Scott Zoldi by Scott Zoldi
    • Ask Me Anything on AI: Highlights of My First Reddit AMA Ask Me Anything on AI: Highlights of My First Reddit AMA
      Ask Me Anything on AI: Highlights of My First Reddit AMA
      February 07, 2019
      Customer Development

      I’d heard of it—Reddit’s “Ask Me Anything” (AMA) forum has been around for a decade, after all—but had always thought it was just for famous people like Bill Gates, Madonna, President Barack Obama and Snoop Dogg. Nonetheless, with a bit of a nudge from my team, I found myself writing, “I’m Scott Zoldi and I’ve authored 95 patents on AI, machine learning and various an…

      Scott Zoldi by Scott Zoldi
    • Deep Dive: How to Make "Black Box" Neural Networks Explainable Deep Dive: How to Make "Black Box" Neural Networks Explainable
      Deep Dive: How to Make "Black Box" Neural Networks Explainable
      January 14, 2019
      Decision Management

      Neural networks can significantly boost the arsenal of analytic tools companies use to solve their biggest business challenges. But countless organizations hesitate to deploy machine learning algorithms with a “black box” appearance; while their mathematical equations are often straightforward, deriving a human-understandable interpretation is often difficult. The res…

      Scott Zoldi by Scott Zoldi
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