Struggling with IoT sensor data overload? Don't let the data go to waste !
Streamline your data and put it to work to unlock its full potential and launch new revenue streams.
In this webinar you will learn
- How to go to market faster by using a powerful visual analytics tool for your IoT data. No need to build and maintain
your own visual analytics solution. This is how you save time and budget ! - Strategies to finally monetize your IOT data and bring new analytics services and products to the market. For example, how to enrich your own IoT data
by adding third party data, and simply share data analytics reports or dashboards with your customers.
The following use cases are featured in the webinar:
Integrating crowd monitoring sensors to provide visual dashboards for cities and event organizers
Crowdscan is an innovative IOT company specialized in accurate real-time privacy preserving crowd monitoring.
Learn how Crowdscan leverages the xyzt.ai platform:
- To connect the output of their sensors to the xyzt.ai platform
- To build informative dashboards that are easy to monitor by city analysts or event organizers
- To provide historic analytical capabilities to analyze trends, patterns, and anomalies in the people flow
Using connected vehicle data as the fuel to provide road safety, traffic efficiency, and road condition insights
Connected vehicle data is an exciting IOT data source generated by cars, vans, and trucks. The data consists of information about the location, speed, but also about sensors on the cars such as vertical acceleration.
Many xyzt.ai users leverage the xyzt.ai platform to provide easy visual views and analytics on top of this data.
In this case study you will learn how to:
- Build a data pipeline that ingests connected vehicle data on a daily basis
- Provide access to your customers to the xyzt.ai platform for easy analysis
- Embed components in your own application
