Fraud Detection: Adaptive Analytics and Self-Learning AI
Adaptive analytics technologies improve sensitivity to shifting fraud patterns by automatically adapting to recent confirmed case disposition.
Application Fraud: The Role of AI and Machine Learning
I spoke with one of FICO’s principal scientists, Derek Dempsey, who shared how AI and machine learning are solving problems in application fraud.
Fraud Detection: Leveraging Large Datasets to Develop Models
You can improve predictive accuracy in fraud detection by expanding the dataset used to craft the predictive characteristics used in a machine learning model.
Video: Metrobank Card Deploys Intelligent Collections
FICO® Customer Communication Services (CCS) used to automate collections and achieve scale
VIDEO: Operationalizing Analytics, Part 2
To gain competitive advantage companies are using analytics to operationalize their data. This 2-part video blog shares 5 best practices for connecting data and analytics to business processes.
Fraud Detection: Specialized vs. Generic Fraud Analytics
In order to maintain a positive consumer experience, specialized fraud analytics must be used to assess the “tough” questions.
Fraud Detection: Applying Behavioral Analytics
A robust enterprise fraud solution combines a range of behavioral analytics models and profiles, which can understand evolving patterns in real time.
Survey: Americans Are Frustrated by Security Measures
A new survey conducted by FICO and 72 Point, who polled 2.000 U.S. adults, found 81 percent don’t see the need for what they consider unnecessary security procedures.
Stay Safe Online with These 5 Tips (Video)
We just completed a survey to ask thousands of consumers in the UK and US exactly what they think about those security measures and fraud processes that are designed to help them stay safe online.
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