This is a conversation with Bea Stollnitz about the advancements in Azure ML and its new cool features in the ML Ops space.

Azure ML (Microsoft Azure Machine Learning) is a cloud-based platform for building, deploying, and managing machine learning models. It provides a range of tools and services for data scientists and developers to build, train, and deploy machine learning models in the cloud.

In this podcast, we explored the capabilities of Azure ML and how it can be used to build, deploy, and manage machine learning models in the cloud. We also delved into the principles of Azure ML & ML Ops and how they can help organizations optimize and scale their machine learning efforts. Tune in to learn more about how Azure ML and ML Ops can help you drive innovation and business value with machine learning.

Bea Stollnitz Bea Stollnitz is a developer advocate at Microsoft, focusing on Azure ML and other AI/ML-related technologies. She has a background in scientific machine learning, software engineering, and applied math. She loves to share her knowledge with others through her Azure ML and machine learning blog.