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AI Talks with Mia Chang

27 April 2020

Description

What was your last AI project? Was it another Kaggle dataset running on Jupyter notebook, hard to reproduce and don't know how to deploy as an AI service? How to do auto-scaling for the model serving? How far is the distance from playing with the sample dataset to AI production? Let's go through 7 steps in the AI application development lifecycle. From data wrangling, reproduce your training, model acceptance to model deployment and management. Target audience: Data scientist who doesn't know the model serving and Azure DevOps. Backend/DevOps who doesn't know how to help your data team go production.

Resources

Mia Chang

Microsoft AI MVP

Sammy Deprez

Microsoft AI MVP

Alicia Moniz

Microsoft AI MVP

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