Crayon

The objective of this project was to support the audit reviewers in optimizing their daily work by automatically identifying audits that might contain irregularities or inconsistencies. This help reviewers focus on the important audits and optimize their assessment efforts. Moreover, it helps standard setters identify how they can further improve the audit process in order to increase the quality.

• Azure Container Service
• Azure Machine Learning
• Azure DevOps
• Azure Storage
• Azure

• Pig Weight Estimation

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  MLOps for RHI

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  MMaaS - Model Management as a Service