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Tuesday, May 21 • 11:30 - 12:30
Managing your data science pipeline like a dev would

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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.

avatar for Nick Trogh

Nick Trogh

Nick Trogh is the Azure Developer Audience Technical Lead for Microsoft WE HQ. He’s engaging with professional developers to guide them on the path towards Azure ninja status. His main technology focus is on Cloud, AI and conversational interfaces. You can also find him as a speaker... Read More →

Tuesday May 21, 2019 11:30 - 12:30 CEST
Room 6