Integrating machine learning models into business applicationsHow to simplify the integration of ML models into business applications, automate many complexities. A fraud detection solution exampleSep 18Sep 18
Next Best Action recommendations with Request Response processing: simplifiedBusiness scenarios can become increasingly complex, causing many problems for users and administrators. Our solution to simlify the system.Aug 19Aug 19
Streaming, Batch and Request-Response Data processing modesOrganising your data processing infrastructure around one type of processing would be great but it’s mostly impossibleJun 19Jun 19
How to use Nussknacker together with Kafka & Schema Registry — IoT exampleNussknacker effortlessly integrates with Apache Kafka, including its seamless compatibility with Kafka’s Schema Registry — with an example.May 20May 20
A guide to OpenAPI componentsData enrichment made easy! Provide an OpenAPI definition of your service, and Nussknacker will automatically build ready-to-use component.Apr 18Apr 18
SMS Artificially Inflated TrafficWith robust real-time processing capabilities we build complex decision diagrams that allows us to quickly identify potential threatsApr 16Apr 16
Introduction to integrating Google Firebase with Kafka Connect and NussknackerNussknacker can be used to inject additional business logic for the Firebase events and is easily integrated with Firebase subscriptions.Oct 16, 2023Oct 16, 2023
How to build a bridge between IT and the business teams?The business team won’t need to spend so much time thinking about optimal process design before they pass their requirements to the IT teamSep 28, 2023Sep 28, 2023
Fraud Detection Solution for Telecommunications ProviderThe Fraud Team can easily develop complex detection scenarios; because this can be done with low development effortSep 4, 2023Sep 4, 2023
