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Whitepaper

Machine Learning Infrastructure Part 2: Model Deployment

Machine learning model deployment introduces challenges to the traditional software development lifecycle, and current DevOps workflows may not be prepared to meet those challenges.

Part 2 in our series outlines best practices for ensuring efforts to deploy models are successful.

This whitepaper will discuss:

Machine Learning Infrastructure Part 2: Model Deployment

Machine learning model deployment introduces challenges to the traditional software development lifecycle, and current DevOps workflows may not be prepared to meet those challenges.

Part 2 in our series outlines best practices for ensuring efforts to deploy models are successful.

ML_Infrastructure_2

This whitepaper will discuss:

  • The features needed for a successful model deployment platform
  • Pitfalls of traditional software development in ML deployment
  • The next steps in working toward machine learning sophistication