Welcome note by the organizer, co-host and the sponsor

It has been said that data are the new oil. To connect oil pipelines between different systems, the standard is HTTP APIs, whether plain, RESTful, or REST. However, no company simply exposes its information system to the outside. You need a central, unified entry point to manage cross-cutting concerns, including traditional issues like authentication and IP blacklisting, as well as API-related matters such as rate limiting and canary releases. In this talk, we will use Apache APISIX on Docker to demonstrate several useful features that can help your information system address the challenges posed by APIs

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In this talk, we will explore how we use Batch Inference Solution for large-scale computer vision processing by automating and optimizing inference jobs on massive datasets. This session explores how batch jobs eliminate the inefficiencies of sequential API calls, enabling scalable, efficient predictions for images and videos with your trained models can streamline your MLOps workflow