Techorama Belgium 2019

As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an IDE, like VS Code. Then, we hand off the resultant model to an app developer who integrates it into the larger application and deploys it. As AI is infused into more business-critical applications, it is increasingly clear that we need to collaborate closely with our app developer colleagues to build and deploy AI-powered applications more efficiently.
In this session we'll take a deep dive into how to setup a CI/CD pipeline for data science. You'll learn how to leverage Azure Machine Learning and Azure DevOps to bridge the data science and application lifecycles more effectively.