Daysie AI-Edge PaaS by Nectec

https://daysie.io/

https://www.conferencethaiseries.com/wp-content/uploads/2025/10/%E0%B8%9B%E0%B8%B2%E0%B8%90%E0%B8%81%E0%B8%96%E0%B8%B2-6-The-Rise-of-Edge-Computing-AI-Beyond-the-Cloud-%E0%B9%82%E0%B8%94%E0%B8%A2-%E0%B8%94%E0%B8%A3.%E0%B8%9E%E0%B8%99%E0%B8%B4%E0%B8%95%E0%B8%B2-%E0%B8%9E%E0%B8%87%E0%B8%A9%E0%B9%8C%E0%B9%84%E0%B8%9E%E0%B8%9A%E0%B8%B9%E0%B8%A5%E0%B8%A2%E0%B9%8C.pdf

infrastructure as code

 AWS Cloudformation

Terraform (https://developer.hashicorp.com/terraform/tutorials/aws-get-started/infrastructure-as-code)

Google Optimization Tool

OR-Tools is an open source software suite for optimization, tuned for tackling the world's toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming.

https://developers.google.com/optimization

Online learning vs Offline learning

Online learning (or online machine learning) is a method in machine learning where the model continuously learns from a sequential stream of data, updating its parameters incrementally with each new data instance or small batch of data.

It is a dynamic process that allows a model to adapt to new patterns and changes in the data distribution in real-time.

Online learning is the opposite of the more traditional Batch Learning (or Offline Learning) approach.