IoT is increasingly a business opportunity enabled by IT systems and expertise, making it imperative for all levels of an organization to understand its challenges and benefits.
Any IoT project team looking to succeed 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. A good starting point for them is learning how to operationalize IoT apps on Pivotal Platform.
View this on-demand seminar to 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
By looking at connected car functionality and architecture, enterprises can get a better understanding of all IoT platforms. There is a fairly consistent set of IoT components—sensors, mobile or device apps, big data stores, data science algorithms, and analytical output with a platform-as-a-service (PaaS) layer underneath. Take a peek under the hood of the Connected Car. See what it does and how it applies to IoT systems.
Here’s how Pivotal helps organizations get the most from IoT technology investments: