Optimizing MLOps with MPM powered by Explainable AI

We’ve seen the rise of MLOps in an effort to enable IT teams and Data Science teams to collaborate and accelerate ML model development and deployment. Due to the sudden necessity, many companies opted to use a traditional APM framework when instead, a dedicated ML framework is better suited.

In this paper, we put together the unique nature of machine learning, its challenges, and how to optimize MLOps with a disciplined Model Performance Management (MPM) framework. Here’s a list of what you will find:

  • A snapshot of ML Lifecycle
  • The 8 unique challenges for ML models
  • A summary of how MPM solves these challenges

Download the paper now to read more.

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