Build High Performance Responsible AI

As AI becomes more prominent across different industries, organizations are increasingly scrutinized for unfair ML algorithms and lacking clear explanations behind AI-driven decisions.

How do you avoid such risks and build trustworthy AI solutions? How do you guard against potential AI mishaps and build performant MLOps practices? In other words, how do you build responsible AI?

Read this O'Reilly eBook to:

  • Learn the basics of Model Performance Management and how to build responsible AI
  • Understand the differences between MLOps and DevOps to build high performance AI solutions
  • Explore different stages of Machine Learning and how each step can be improved with Explainable AI
  • Walk through implementing MPM in the ML life cycle