---
title: "Discussion on \"Catching Silent Model Failures: How to Implement Automated Data Validation and PSI Tracking in Production\" | Hashnode"
description: "Discussion on \"Catching Silent Model Failures: How to Implement Automated Data Validation and PSI Tracking in Production\". Deploying a machine learning model to production is exhilarating. Your pipeline is live, predictions are streaming, and accuracy looks great. But as the old engineering adage goes: Deployment is 20% o"
url: "https://hashnode.com/posts/catching-silent-model-failures-how-to-implement-automated-data-validation-and-psi-tracking-in-production/6af9352b3a79bc94a6a7a50a"
---

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# [Catching Silent Model Failures: How to Implement Automated Data Validation and PSI Tracking in Production](https://dillard76.hashnode.dev/catching-silent-model-failures-how-to-implement-automated-data-validation-and-psi-tracking-in-production?utm_source=hashnode&utm_medium=feed)

Deploying a machine learning model to production is exhilarating. Your pipeline is live, predictions are streaming, and accuracy looks great. But as the old engineering adage goes: Deployment is 20% o

56m ago · 4 min read · dillard76.hashnode.dev  
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## Written by

[Bryan D Dillard](https://hashnode.com/@dillard76)

@dillard76 · Huntington, WV

  
[View profile](https://hashnode.com/@dillard76)

"Author and publisher at BD Digital Publishing. Writing about MLOps observability, SLAs, and production ML."

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