Laying the foundation for MLOps

MLOps for Business

Arne Jonas Warnke

Head of Emerging Curriculum

Agenda

 

Video focuses on

  • Skills
  • Technology
  • Culture
MLOps for Business

Skills required for MLOps

MLOps requires different roles

  • Business / subject matter expert

as well as

  • Data engineer
  • Data scientist / ML engineer
  • Software / DevOps engineer

and

  • Solution / ML architect

MLOps for Business

MLOps architecture

1 Hidden Technical Debt in Machine Learning Systems
MLOps for Business

Where to host your MLOps platform

MLOps can be hosted

  • Via (big) cloud providers
  • Fully-managed MLOps platforms
  • Self-build tool stack

MLOps for Business

Requirements of MLOps platforms

Important elements of such platforms are

  • Common standards
  • Modular components
  • Automated workflows
  • Continuous testing
MLOps for Business

Cultural aspects of MLOps

Important elements of MLOps

  • Strategic guidance through higher management
  • Cooperation between and joint responsibilities
  • Continuous and incremental improvements
  • Autonomy and feedback culture
  • Constant (cross-team) training

MLOps for Business

How to get there

To ensure business impact

  • Start with business objective
  • Get the right talent and incentive to collaborate
  • Carefully think design the central MLOps architecture
MLOps for Business

Let's practice!

MLOps for Business

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