What we're about

This group is for sharing and evangelizing in the new disciplines of machine learning (ML) engineering that involve operationalizing ML in production with a long list of technologies such as serverless, containers, Kubernetes (K8), GPUs, automation and DevOps tools.

This not-so-new discipline of ML is very distinctly different from pure academic data science aspects where one focuses mainly on algorithms. ML Ops focuses on scaling, operationalizing and infrastructure aspects of ML at scale - which is more of an engineering concern.

Past events (4)

Ending the chatbot frustration - The way forward for enterprise CAI

Suntec Singapore Convention & Exhibition Centre

Accelerating Data Science with GPUs


Empowering Data Science with Serverless


Challenges of Operationalising Data Science in Production

Photos (29)