Accelerating mlflow 2.0 Pipelines for Production using Databricks

Achieve Easy Experimentation, Reproducibility, and Deployment with MLflow 2.0

Mlflow 2.0 – a more advanced version of MLflow – is being rolled out by Databricks to standardize, accelerate, and productionalize the Machine Learning model development process. This best-of-the-breed platform will provide production-grade ML pipelines and ready-made templates to enable practitioners to

  • Achieve faster iterative development
  • Speed up the production and deployment of ML models at scale
  • Do without writing the boilerplate code
  • Ensure reproducibility of pipelines
  • Build models that serve in different environments
  • Maintain a central storage space for all their model versions
  • Draw quick comparisons of results at the workflow level

Royal Cyber is making it possible for you to get familiar with MLFlow by giving a free demo on the platform. Our data experts successfully build efficient and high-performing Machine Learning models using MLflow 2.0.

Discussion Topics:

An Introduction to MLOps and MLFlow 2.0
Features of MLflow 2.0 Platform
Missing Components in Data Science ML Practice
Live Demo
Question & Answer Session
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