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Online Talk

Real-Time Fraud Detection with Imply, AWS, and Confluent

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Thursday, May 29, 2025

10 AM PST | 1 PM EST | 10 AM GMT | 10:30 AM IST | 1 PM SGT | 4 PM AEDT

Discover how Confluent’s Data Streaming Platform, Imply’s real-time analytics platform, and Amazon Athena’s query engine enhance fraud detection accuracy and speed. This session will demonstrate how real-time data processing enhances threat identification, improves accuracy, and increases operational efficiency. By adopting a shift-left approach - moving data processing and governance upstream - organizations can integrate and implement these technologies earlier in the development cycle to build a scalable and more proactive fraud detection framework fueled by high-quality, reusable data products that open more use cases for the entire business. Learn how leading companies implement real-time data processing and analytics to enhance fraud detection at scale.

Highlights:

  • Shift-left processing and governance to power fraud models with high-quality, real-time data products built earlier in the development cycle.
  • Identify anomalies faster with data streams analyzed with Imply’s fully managed service for Apache® Druid.
  • Improve accuracy and efficiency with Amazon Athena for deep fraud analysis.
  • Detect threats as they occur in real-time by merging analytics with fraud insights.

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