MLOps on Azure Databricks with MLflow

MLOps on Azure Databricks with MLflow

In this session, Oliver Koernig, a Solutions Architect at Databricks, will illustrate and demonstrate how Databricks' managed MLflow and the Azure ecosystem can be used... Details
MLOps Using MLflow

MLOps Using MLflow

MLflow is an MLOps tool that enables data scientist to quickly productionize their Machine Learning projects. To achieve this, MLFlow has four major components which... Details
How to Develop ML-enabled Data Pipelines on Databricks with IDE & CI/CD

How to Develop ML-enabled Data Pipelines on Databricks with IDE & CI/CD

Data & ML projects bring many new complexities beyond the traditional software development lifecycle. Unlike software projects, after they were successfully delivered and deployed, they... Details
The Data Behind MLOps

The Data Behind MLOps

Here’s an exceptional conversation with Yaron, co-founder, and CTO of Iguazio. Yaron shares the challenges that still exists in developing Machine Learning based product for... Details
How to Apply MLOps at Scale

How to Apply MLOps at Scale

This video is continuation of “Automated Production Ready ML at Scale” in last Spark AI Summit at Europe. In this session you will learn about... Details
Setup Azure Machine Learning Services (Azure MLOps Part 2)

Setup Azure Machine Learning Services (Azure MLOps Part 2)

Sascha Dittmann has created a series of videos I'm showing how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure. In the... Details