Container Talks : Scalable ML(Machine Learning) Systems

Title of Session: Scalable ML(Machine Learning) Systems

About the Session:

Machine learning scalability refers to scaling ML applications that can handle any amount of data and perform many computations in a cost-effective and time-saving way to instantly serve millions of users residing at global locations.

Key takeaways from the session:

- Scaling ML Inferencing Systems
- Scaling Deployments for different levels of Traffic
- industry standards in dealing with ML systems at scale

About the Speaker:

Henk is a Cloud Advocate specializing in Artificial intelligence and Azure with a background in application development. He is currently part of the regional cloud advocate team in the Netherlands. Before joining Microsoft, he was a Microsoft AI MVP and worked as a software developer and architect building lots of AI-powered platforms on Azure.

He loves to share his knowledge about topics such as DevOps, Azure, and Artificial Intelligence by providing training courses and he is a regular speaker at user groups and international conferences.

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