Intel® & Google Cloud*
Webinar Series

Google Cloud* on Intel® IoT Gateway Technology
Now available on demand
Utilizing an Intel® IoT Gateway as a central data collection, processing, and communication hub allows us to create IoT connectivity without having to replace legacy hardware. In this session, you will learn how to create a complete gateway based IoT framework – from the edge to the cloud. We will show you how to use an Intel® NUC gateway and Arduino 101* sensor hub to gather environmental data and step you through establishing a data pipeline to Google Cloud Platform* using Google Cloud IoT Core. Finally, we will bring the data into Google Cloud Dataflow as the preliminary step to accessing all the other Google Cloud Services.

Big Data Processing with Intel® IoT Gateway Technology and Google Cloud*
Now available on demand
As the amount of data in our world increases developers are tasked with finding ways to ingest the data, process it, and create intelligence. In this session, we will build upon topics covered in the first webinar by using the previous data pipeline to connect to big data processing services in the Google Cloud Platform*. We will show you how to grab data from Cloud IoT Core and send it into DataFlow. We will also look at writing data into BigQuery and highlight the apache BEAM framework. Finally, we will visualize the data in Data Studio as a means of understanding the data.

Machine Learning with Intel® IoT Gateway Technology and Google Cloud*
Now available on demand
Machine learning is one of the ways that we can make sense of large data sets and begin to predict the behavior of a monitored system – from predictive maintenance in a factory to creating better cyber security. In this session, you will learn how to forecast the weather using the Intel® NUC gateway and Google’s Machine Learning Engine. We will use the Intel® NUC gateway along with an Arduino 101* sensor hub to collect local sensor data, send the data to Machine Learning Engine. We will then use Tensor Flow to train our model and generate some data predictions. The trained model will then be run locally on the Intel® NUC gateway in order to find anomalies in the sensor data and generate alerts.