The hottest Fraud Detection Substack posts right now

And their main takeaways
Category
Top Technology Topics
Technology Made Simple 639 implied HN points 01 Jan 24
  1. Graphs are efficient at encoding and representing relationships between entities, making them useful for fraud detection tasks.
  2. Graph Neural Networks excel at fraud detection due to their ability to visualize strong correlations among fraudulent activities that share common properties, adapt to new fraud patterns, and offer transparency in AI systems.
  3. Graph Neural Networks require less labeled data and feature engineering compared to other techniques, have better explainability, and work well with semi-supervised learning, making them a powerful tool for fraud detection.
The API Changelog 1 implied HN point 16 Jun 25
  1. Apple announced updates for their products, including new features for visionOS 26 and macOS Tahoe 26 to improve user experience.
  2. OpenAI has seen significant growth in revenue and has made its AI models more affordable, staying competitive with other companies in the AI space.
  3. New tools and partnerships are emerging in the fintech and security sectors, enhancing API integration and fraud detection capabilities.
TheSequence 441 implied HN points 05 Feb 24
  1. Learn how Plaid built the ML infrastructure powering Signal, their fraud detection app.
  2. Discover the technical solutions adopted by Plaid to overcome challenges like out-of-order transaction data.
  3. Understand the benefits of Plaid's new ML platform, including improved cost management and better access controls.
Chaos Theory 0 implied HN points 05 Feb 24
  1. TikTok owner Bytedance launched its own alternative to ChatGPT.
  2. AI is bringing life back to San Francisco's commercial real estate sector.
  3. Google Maps is incorporating generative AI for enhanced features.
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