Optimize your schedule with prescriptive analytics
summary
Demo shows building prescriptive scheduling models visually on IBM Cloud Pak for Data, using a modeling assistant and the decision optimization engine to produce Gantt charts and solution tables. Small models solve in under a minute with engine logs showing a best bound (around 12) and a found schedule of 22 hours for the example. Model exports to a deployable service with a REST endpoint and access token so applications can submit CSV-like payloads and retrieve optimized schedules.
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chapters (9)
- 0:00Introduction to prescriptive analytics
- 7:13Creating a project in IBM Cloud
- 10:11Building a basic scheduling model
- 16:49Adding task dependencies
- 20:05Introducing task and CPU sizes
- 22:55Experimenting with constraints
- 25:01Deploying the model as a service
- 33:01Exploring additional examples
- 34:02Q&A and closing
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