Things You Need to Consider in MLOps for Your ML Production Systems
This talk will provide a broad overview of the technology stack to support efficient MLOps for both development and deployment. As well as covering the considerations that have to be made regarding different deployment scenarios (e.g. AIaaS, vs. embedded AI/ML). I will also talk about the practical design choices under the constraints of compute and communication bandwidth in a ML production 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)