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Watch a 17-minute conference talk exploring the orchestration of machine learning applications at the network edge through Tiny-MLOps. Discover how researcher Mattia Antonini from Fondazione Bruno Kessler applies edge intelligence to real-world scenarios, focusing on a wastewater management plant use case with submersible pumps. Learn about the implementation challenges and validation processes for deploying ML on single board computers, embedded devices, and microcontrollers. Explore the Tiny-MLOps loop methodology and understand how it enables effective management of edge AI applications through a detailed logic system schema and simulation environment.
