Verzerrungen bekämpfen: So beseitigen interpretierbare latente Merkmale Verzerrungen in neuronalen Netzen
FICO’s data science labs called interpretable latent feature-based neural networks (ILF NNET) help expose and eliminate biases derived from data showing up in the model.
FICO’s New AI Playbook: How to Achieve Responsible AI
The Responsible AI Playbook provides a clear path to operationalizing AI deployments. Use it to achieve high-impact business results within important ethical and legal boundaries.
Trade-based money laundering is the process of disguising the proceeds of crime and moving value using trade transactions to legitimize their illicit origins
UK Card Trends: Pandemic Savings Mask Picture of Debt
Our UK Credit Market Report of UK card trends for July 2021 reveals that there was an uplift in missed payment rates, whilst spend on cards marginally fell
Wie FICO kontextbezogene Intelligenz zur Betrugsbekämpfung orchestriert
FICO’s contextual intelligence capabilities allow organizations to become more efficient and effective in two important ways related to fraud and financial crime compliance
Open-Source-Junkies: Wie viel Analyseleistung brauchen Sie?
Data scientists need to justify the need for the incremental risk we assume when using more complicated methods to solve a problem - not be open source junkies
Digitale Simulationen: Die Geheimwaffe für die Lösung komplexer Probleme
Digital simulations allow you to safely hypothesize and test “what if” scenarios and use the resulting insights to push through pain points in your business.
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