VDML
VDML
  • Home
  • KJR
  • Frameworks & Standards
  • Process
  • Contact
  • More
    • Home
    • KJR
    • Frameworks & Standards
    • Process
    • Contact
  • Home
  • KJR
  • Frameworks & Standards
  • Process
  • Contact

Deploy your AI with Confidence

Deploy your AI with Confidence Deploy your AI with Confidence Deploy your AI with Confidence

  

About VDML

Background

AI doesn’t always get it right. Managing risk, governance, compliance, accuracy and performance through KJR’s Validation Driven Machine Learning can help your organisation deploy AI with confidence. 


VDML (Validation Driven Machine Learning) is a methodology developed by KJR to guide customers in their development of robust and reliable Machine Learning models to deliver AI solutions.  


Our Approach

VDML addresses unique challenges and uncertainties in systems employing ML. VDML emphasises understanding the limitations of both models and data, and uses iterative validation methods to guide and assess ML model behaviour.  

 VDML integrates with ModelOps and DataOps workflows, enabling a seamless integration of ML validation activities into an agile, CI/CD, and DevSecOps methodology. It adopts a data-centric AI approach, iteratively evaluating the performance of models drawn upon target data domains.  

PRACTICAL AI GOVERNANCe

Copyright © 2023 VDML - All Rights Reserved.


Powered by GoDaddy

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept