About this session:
Learn how to automate and scale ML workflows with workload orchestration for both batch and real-time inference serving. In this session we will dive into the steps to deploy, automate and scale recurring production ML workloads that can ingest data from predefined data sources to run inferences, chain pipelines, and send inference results to predefined destinations to analyze model insights and assess business outcomes.

Why should I attend?
You will leave this session with a comprehensive understanding about how to manage and orchestrate model automation for batch and real-time inference serving scenarios

Resources:
Try this Computer Vision model and other common AI use cases using the Wallaroo.AI Azure Inference Server Freemium Offer on Azure Marketplace (https://portal.azure.com) and also try the Free Wallaroo.AI Community Edition (https://portal.wallaroo.community/)