[Case Study] Machine Learning Automation Using MLOPs at Yamato Transport

A case study of Yamato Transport’s automation of machine learning to improve the accuracy of workload forecasting at distribution centers and other sites is now available.
Key personnel from Yamato Transport and ExaWizards explain in an article titled “Optimizing Management Resource Allocation with MLOps: “Building from the Ground Up Something for Which There Is No Example, and Winning Operational Stability and Speedup of Machine Learning Models.

▽ For more information, please see the following(Only in Japanese)
https://exawizards.com/works/20297