Accelerating AI Adoption with Machine Learning Operations (MLOps)

DataRobot The Four Pillars of Machine Learning Operations resource card v.1.0 1

Massive investments in data science teams and machine learning platforms have yet to yield results for most companies. The last mile for AI project success is the deployment and management of models in production requiring new technology and practices. This new area is called Machine Learning Operations or MLOps.

DataRobot The Four Pillars of Machine Learning Operations resource card v.1.0 1

In this latest Data Science Central webinar, you will get an overview of MLOps and discover the issues, capabilities, and best practices required for successful and sustained deployment of machine learning in production, including:

  • The challenges of production model deployment - and how to overcome them
  • Best practices to avoid production model monitoring pitfalls
  • How to maintain high-performing models using production lifecycle management
  • Mastering production model governance to minimize risk and ensure regulatory compliance

Speaker

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Sivan Metzger

Managing Director, MLOps & Governance - DataRobot