🎄 🎅🏼 🎁 Main highlights of this release:
Start at the docker version or go to Github to see how can help with business decisions on streaming data
Using Nussknacker's robust real-time processing capabilities, we can build complex decision diagrams that analyse patterns, behaviours and anomalies that indicate SPAM SMS Fraud. This approach allows us to quickly identify potential threats and take proactive action to prevent fraud before it happens
At Nussknacker we decided to significantly ease enriching your data in scenarios with OpenAPI components. All you have to do is provide an OpenAPI based interface definition of your service and magic will happen — Nussknacker will automatically create components based on your interface definition and they will be ready to use
This article is a starting point into the vast and shadowy realm of the Telecom Fraud World. It outlines various fraudster profiles without delving into the technical complexities. Going forward, detailed descriptions and examples of Nussknacker’s solutions for each type of fraud will be covered in separate articles.
Business users can create or change decisioninig algorithmss anytime, without any assistance from IT department.
We can help you customise and extend Nussknacker to meet your specific needs and then deploy and maintain it on your infrastructure.