Things You Need to Consider in MLOps for Your ML Production Systems
This talk will cover a broad overview of the technology stack to support efficient MLOps for both ML development and deployment. We will discuss considerations that have to be made regarding different deployment scenarios (e.g. AIaaS, vs. embedded AI/ML). This talk will also provide practical design choices under the constraints of compute and communication bandwidth in a production ML system.
Wenting Sun is a Senior Data Science Manager in Ericsson. She leads a team of data scientists and data engineers to develop cutting-edge AI/ML applications in the telecommunication domain and drives some of the AI-related open sources initiatives for Ericsson. She is a governing board member of Linux foundation AI (LFAI)