July 17-19 | Tokyo, Japan
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Wednesday, July 17 • 15:10 - 15:50
Machine Learning Lifecycle Management with Acumos AI Platform Across Multiple Environments - Soichi Takashige & Yusuke Furuyama, Hitachi

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Acumos AI is a platform and open source framework that makes it easy to build, share, and deploy AI apps. We evaluated the Acumos AI, to see whether it can manage the lifecycle of machine learning (ML) subsystem which is developed within the private environment by data scientists and is deployed to edge or on-premise environment by system integrators.

Requirements for management functions for ML systems on the edge or on-premise environments differ slightly from those of the public cloud. One model may run on several non-cloud environments. Every subsystem must be managed by local management systems on their sites and monitored information should be delivered back to data scientists in the remote sites.
We confirmed that Acumos AI covers some important concepts to manage ML models which is developed and deployed in separate environments. But at the same time, we'd like to have some more flexibility to customize functionality to fit our own environment.


Soichi Takashige

Researcher, Platform & System Management, Hitachi
Soichi Takashige is a Researcher of Platform and System Management at Hitachi. He has 15 years experience in software, including hypervisors and infrastructure management such as  OpenStack. Currently, He is focusing on the study on lifecycle management platform for AI or machine... Read More →

Yusuke Furuyama

Solution Engineer, Hitachi
Yusuke Furuyama is a solution engineer at Hitachi and responsible for leveraging OSS related to bigdata and AI and working on offering progressive bigdata solutions to customers who are going to build enterprise system. Currently, he is focusing on Python and Python libraries for... Read More →

Wednesday July 17, 2019 15:10 - 15:50 JST
Hall B (3) (Floor 4F)