Build machine learning models with the most advanced tools you already have,
and then deploy and run them on ServiceNow platform
powered by zModel framework
First - you use your own machine learning tools and algorithms to build a model. Next - you use zModel framework to deploy the model into ServiceNow and make it available for your applications and processes.
zModel framework allows you to run your models on ServiceNow infrastructure and use them for any tasks and projects you need - ranging from simple IT classification tasks to tasks like credit risk assesments, fraud detection, medical evaluation etc.
Once you have ServiceNow in your organization, you can use it as a powerful platform and run ML models for any business tasks and applications you need - you are not bound by IT operations only.
zModel framework provides complete REST API, so you don't even need to log in to ServiceNow in order to deploy and run a model.
There are multiple machine learning tools, frameworks and algorithms for model building. You can use any of them to build a model and prepare it for deployment in ServiceNow.
Tensoflow, Caffe, R, Scikit-learn, Python
When model is built - upload it to ServiceNow via zModel framework.
Model can be uploaded via REST API
Manual model creation and CSV file upload supported
You can use models and score any input data. zModel framework provides complete data infrastracture for audit log and search, and stores all data related to a single score transaction.
Multipurpose, any business applications