aionz-solution-templates
About the project
AI Solution Templates are a suite of pre-built blueprints that guide you through the full AI lifecycle on IBM Z with various enterprise use cases while leveraging a variety of technologies. Whether you’re a senior data scientist or have no previous AI skills, build your own AI model, deploy it on IBM Z, and integrate it into a business application.
Getting started
Explore each of the available AI Solution Templates below.
Fraud detection using MLz
This solution template provides an example on how to deploy AI using an IBM Z environment, while making use of open source frameworks, Machine Learning for IBM z/OS (MLz), and more.
Fraud detection using TIS
This solution template provides an example on how to deploy AI using an IBM Linux on Z environment, while making use of open source frameworks, Triton Inference Server, and more.
Credit risk assessment using MLz
This solution template provides an example on how to deploy AI using an IBM Z environment, while making use of open source frameworks, Machine Learning for IBM z/OS (MLz), and more.
Credit risk assessment using TIS
This solution template provides an example on how to deploy AI using an IBM Linux on Z environment, while making use of open source frameworks, Triton Inference Server, and more.
Health insurance claims using MLz
This solution template provides an example on how to deploy AI using an IBM Z environment, while making use of open source frameworks, Machine Learning for IBM z/OS (MLz), and more.
Health insurance claims using TIS
This solution template provides an example on how to deploy AI using an IBM Linux on Z environment, while making use of open source frameworks, Triton Inference Server, and more.
Data Preprocessing with IBM Z
This solution template provides an example on how to deploy AI with a preprocessing pipeline using an IBM Z environment, while making use of open source frameworks, Machine Learning for z/OS (MLz), and more.
Data Preprocessing with Linux on Z
This solution template provides an example on how to deploy AI with a preprocessing pipeline using an IBM Linux on Z environment, while making use of open source frameworks, Golang, Triton Inference Server, and more.
Connect with us
Connect with us by submitting a GitHub issue on topics such as:
- General questions
- Enhancement requests
- Bug fixes