Real-Time Fraud Detection with Edge-to-AI | Cloudera Data in Motion Demo

Cloudera, Inc.

Aug 17, 2026

Learn how to build an end-to-end, real-time edge-to-AI data pipeline to tackle critical enterprise challenges like credit card fraud detection. In this demo, Diby Malakar (Product Lead for Data in Motion) demonstrates how to process an average of 5,000 transactions per second in low hundreds of milliseconds to detect fraud instantly.

Discover how Cloudera’s Data in Motion suite enables application developers to ingest, govern, and enrich streaming edge data to power instant AI model inference and live analytics.

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Key Highlights:

Real-Time Fraud Detection: Process high-volume transaction streams (5,000+ tx/sec) with low-latency response times.
Unified Toolkit: Integrate Cloudera Edge Management, Data Flow, Streams Messaging, and Streaming Analytics into a seamless pipeline.
Instant AI Classification: Invoke pre-trained AI models directly within the data flow for immediate fraud scoring.
Live Insights: Surface real-time streaming data and metrics using Cloudera Data Visualization dashboards.

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