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Reefer Container Predictive Maintenance
Data ingestion and in motion with Cloud Pak for Integration
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GitHub
Reefer Container Predictive Maintenance
GitHub
Introduction
Introduction
What you will learn
Reefer anomaly detection problem
Enablement Content
Enablement Content
Methodology used
Cloud Pak approach
Open source approach
Environments
Environments
Event Streams environment
MongoDB on IBM Cloud
Postgresql on IBM Cloud
Cloud Pak for Data
AI Ladder
AI Ladder
Collect
Collect
Preparing data for demonstration
Preparing data for demonstration
Define products reference data
Generate telemetry data
Data ingestion and in motion with Cloud Pak for Integration
Collect data with open source solution
Collect data with Cloud Pak for Data
Organize
Analyze
Analyze
Define the anomaly detection scoring model with OSS
Define the anomaly detection scoring model with Watson Studio
Infuse
Infuse
Develop the simulation app
Develop scoring app with cloud pak for application
Build and run the solution on Openshift
Run integration tests
Engineer dispatching with Business process with Cloud Pak for Automation
Devops
Devops
Develop the simulation app
Develop the scoring app with event messaging and microprofile
Continuous Integration
Continuous Deployment
Engineer dispatching with Business process with Cloud Pak for Automation
Do it yourself - Workshop
Do it yourself - Workshop
Preparation
Develop the simulation app
Develop the scoring app using open source stack
Reefer solution implementation project
Compendium
Data ingestion and in motion with Cloud Pak for Integration