The Internet of Things (IoT) holds promise for both consumers and enterprises alike. To succeed, any IoT project must concern itself with how to ingest machine and sensor data, how to build actionable models, and how to react to the output of models in real-time.
Join Pivotal Data Scientist Chris Rawles, as he illustrates how to build and operationalize an IoT application running on Pivotal Cloud Foundry that scores and reacts to streaming data in real-time. In this webinar, you will learn how to:
- Collect streaming IoT data
- Build and train machine learning models in real-time
- Score streaming data in real-time in an application
Chris Rawles, Data Scientist, Pivotal