Participants

@Tina Tsou  @Victor Lu @Wilson Wang @Caleb @Haruhisa Fukano @Sujata Tibrewala @Jeff Brower Balaji @Rick Cao 

Meeting Summary

@Wilson Wang

https://bytedance.us.larkoffice.com/minutes/obusz89968b3929333wz8zk6?from=from_copylink

The meeting discussed the data collection and use cases for predictive maintenance and optimization production in the manufacturing industry. The team also discussed the architecture of edge cloud and MVP documents. Additionally, they proposed holding a joint summit with Akrino in September or October to focus on AI and host it at ByteDance's campus. The summit would include in-person events in the Bay Area. Furthermore, the team aims to create an easy-to-use end-to-end code and dataset for manufacturing companies, addressing specific use cases. Finally, Tina Tsou suggested reaching a consensus on a certain set of use cases first and then contributing code.​
Some key points from the meeting include:​
Data collection and use cases: The team discussed the data generated in the manufacturing process and managing use cases, emphasizing the need to classify data from IoT devices and customer devices.​
MVP and architecture: Wilson Wang updated the progress of the architecture and MVP, and Sujata Tibrewala suggested adding more use cases.​
Joint summit with Akrino: A proposal was made to hold a joint summit with Akrino in September or October, focusing on AI and hosted at ByteDance's campus.​
Engineering plans: The team aims to create an easy-to-use end-to-end code and dataset for manufacturing companies, addressing specific use cases.​
Consensus on use cases: Tina Tsou suggested reaching a consensus on a certain set of use cases first and then contributing code.