https://github.com/ambitus/aionz-st-fraud-detection

AI Solution Template on IBM Z and LinuxONE for Fraud Detection
https://github.com/ambitus/aionz-st-fraud-detection

Last synced: 4 months ago
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AI Solution Template on IBM Z and LinuxONE for Fraud Detection

• Host: GitHub
• URL: https://github.com/ambitus/aionz-st-fraud-detection
• Owner: ambitus
• License: apache-2.0
• Created: 2024-02-13T20:09:14.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-11-21T16:19:57.000Z (over 1 year ago)
• Last Synced: 2024-11-21T17:28:10.147Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 21.7 MB
• Stars: 1
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# AI on IBM Z Fraud Detection Solution Template

This is an [AI on IBM Z solution template](https://ambitus.github.io/aionz-solution-templates/) for fraud detection. 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.

Within this solution template, there are various phases of the AI lifecycle included. Work through each of the following steps to deploy your own fraud detection solution on IBM Z.

# ![alt text](./imgs/clay-banks-c2a0TydMlAs-unsplash.jpg)

## Getting Started

View or download the [official AI Solution Template PDF](https://github.com/ambitus/aionz-st-fraud-detection/blob/main/ai_solution_template_fraud.pdf) to get started

## Authors & Contributors

- Development:

    - Evan Rivera (Evan.Rivera@ibm.com)

    - Mahalakshmi Vignesh (mahalakshmi.vignesh@ibm.com)

- Design:

    - Alexis Landis (alexis.mae.landis@ibm.com)