Data streams with ML inference

 

 

 

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Introduction to Nussknacker

From our Blog

Łukasz Ciołecki
Mar 20, 2025

Real-time transaction fraud detection

Fraudsters act instantly, and fraud detection systems must keep up. Yet, many businesses still rely on slow, outdated batch processing. This post explores the challenges of real-time fraud detection and how Nussknacker’s low-code platform enables fast, efficient transaction monitoring.

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Łukasz Jędrzejewski
Jan 21, 2025

Telecom's credit scoring system with ML inference

Using Nussknacker with MLflow, enabled data scientists to deploy ML models directly while letting business analysts manage credit rules. This resulted in faster updates, reduced developer dependency, and more efficient credit risk assessment for their 13 million customers.

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Zbigniew Małachowski
Jan 14, 2025

Streaming SQL alternative

Many streaming applications require significant domain knowledge and continuous updates, however SQL is neither up to the task nor user-friendly for domain experts

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