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Anti-Fraud Archives | STAGING

Ally Case Study

CUSTOMER CASE STUDY Ally Bank Success Story Read the full Ally Bank success story. Read the Case Study

Fraud Detection in Banking: 2026 Future Trends & Predictions

Anti-Fraud Fraud Detection in Banking: 2026 Future Trends & Predictions The financial services industry is accelerating through a period of profound digital transformation. While this evolution delivers unprecedented convenience for customers, it also creates fertile ground for sophisticated fraudsters. As we look toward 2026, the challenge is no longer about stopping individual bad actors; it’s […]

IoT and Big Data Analytics: Revolutionizing Insurance Fraud Detection with Geospatial Intelligence

Anti-Fraud CUSTOMER CASE STUDY IoT and Big Data Analytics: Revolutionizing Insurance Fraud Detection with Geospatial Intelligence with DataWalk Introduction A prominent European insurance company embarked on a transformative journey to tackle fraudulent claims using advanced IoT and big data analytics combined with geospatial and temporal insights. By leveraging DataWalk software, the insurer aimed to validate […]

Case Study: An Insurance Company Achieves Dramatic Results with DataWalk

Anti-Fraud CUSTOMER CASE STUDY An Insurance Company Achieves Dramatic Results with DataWalk Introduction Kooperativa is the largest general-purpose insurance company in the Czech Republic and the most profitable international subsidiary of the Vienna Insurance Group. Kooperativa started a project with DataWalk in 2020 and is continually developing and improving an anti-fraud solution based on the […]

Graph Embeddings: A Breakthrough For Detecting High-Risk Accounts & Transactions

Graph Embeddings: A Breakthrough For Detecting High-Risk Accounts & Transactions A superior alternative to conventional machine learning Graph Embedding vs. Conventional Machine Learning Graph embeddings are algorithms used to represent graphs in more computationally digestible formats. They are very useful in reducing the complexity of computations in machine learning (ML) and other AI tasks while […]