The main purpose of vehicle telemetry is safety; therefore most of the data is external. To that end, a variety of sensors and devices collect data in real time on location, weather, and road conditions, as well as the speed, acceleration, and movement of other vehicles on the road. The vehicle’s telematics system processes all this data and presents it to the driver (or fleet supervisor) in real time, making sure to identify urgent issues for immediate driver notice.
Developers have created machine learning models to identify carriers of compatible devices and share information between them. Additionally, the models must integrate the various data sources to generate insights in real time while alerting drivers to urgent issues.
The first automotive company to offer telematics technology to improve roadside and accident safety, OnStar still provides V2X tech. In fact, they not only work with personal vehicles, but also offer fleet management services.
With a suite of long-range telemetry devices, Continental Automotive distinguishes itself as the number one choice for industrial applications.
A subsidiary of Sony, Altair offers popular general IoT services. Consumers in many industries choose them because they can easily install their battery-powered devices in older vehicles.
PipeCandy eCommerce Leads & Insights for Fulfillment tracks company data and company shipping details: shipping volume, which companies they use to ship products, whether they ship internationally or not, and so on. You can find company leads easily with this dataset with filter capabilities.
Wikiroutes Transit Data provides public transport information—routes, stop points, and more—via crowd-sourcing. The data is constantly updated and can be easily converted and integrated into your own software system.
Wikiroute’s Transit Data is used by individuals, private companies, and government agencies of all types and sizes.
TrackStar’s Predictive Credit Technology uses fifteen years of financial dispute data to create predictive models of future borrowing potential. With this data and AI technology, your bank or other lending company can mitigate the risk of fraud, improve existing customer relations, and reduce your operating costs.