julia-bobo-hu Goto Github PK
Name: JuliaHu
Type: User
Company: Amazon
Bio: An AIML Solutions Architect, delivery scalable Machine Learning solution to transform Data Analytics
Location: Houston
Name: JuliaHu
Type: User
Company: Amazon
Bio: An AIML Solutions Architect, delivery scalable Machine Learning solution to transform Data Analytics
Location: Houston
This is a project using multiple AWS services to automate historian IoT data Exploration
This is the repository to show how to achieve automated ML model training by using a containerized IoT Notebook
# IoTData-Realtime-Ingestion-Inference Developing a ML model to achieve value-driven business outcomes is challenging. This is especially true for IoT applications. Due to the high temporal data resolution and continuously changing IoT Thing status, the fine-tuned ML model needs to be retrained regularly to adapt to such changes. In the first two repositories (https://github.com/Julia-Bobo-Hu/Automated-Historian-IoT-Data-Exploration) and (https://github.com/Julia-Bobo-Hu/Automated_ML_training_IoTNotebook), I demoed how to leverage IoT Analytics platform to automate the first stage of the IoT analytics virtuous cycle: (1) Automate Data Exploration and AI Model Building. For the second stage, in this repository, I will demonstrate the solution for second part of the virtuous cycle of IoT ML: (2) IoT Data Real-time Ingestion and ML Model Inference. With efficient AWS managed IoT Analytics platform, these two parts are mutually complementary and can produce natural synergy.
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