Secure Machine Learning at Scale on Azure with MLOps – Part 2 of 2
Sep 08 2022
As organizations adopt machine learning, operationalizing their ML models in production and monitoring for performance is a real challenge. MLOps helps solve this problem in a reliable and automated way. The other challenge is choosing the right toolsets and methods for building the MLOps process.
In this two-part webinar series, our Machine Learning specialists will provide a detailed outlook on MLOPs toolsets and options available on Azure. Based on how you are adopting ML on Azure, we have a two-part series addressing specific ML environments.
- Part 1: For enterprises adopting ML using Azure Databricks
- Part 2: For enterprises adopting ML using Azure ML Studio, Azure Synapse Analytics
Part 2: Azure ML Studio, Synapse Analytics and MLOps
You will learn:
- MLOps toolsets and options on Azure
- Considerations for building MLOps in ML Studio and Synapse Analytics
- Use cases and demo
- Success stories