- Data Categories
Agriculture Data 
B2B Data 
Biometric Data 
Company Data 
Conservation Data 
Demographic Data 
Economic Data 
Environmental Data 
Geospatial Data 
Healthcare Data 
Individual Data 
Industry-Specific Data 
Internet of Things (IoT) Data 
Legal and IP Data 
People and Employment Data 
Political Data 
Psychology Data 
Real Estate Data 
Retail & Commerce Data 
Social Data 
Space Exploration Data 
Sports & Entertainment Data 
Web Data
- Data Categories
- Agriculture Data
- B2B Data
- Biometric Data
- Company Data
- Conservation Data
- Demographic Data
- Economic Data
- Environmental Data
- Geospatial Data
- Healthcare Data
- Individual Data
- Industry-Specific Data
- Internet of Things (IoT) Data
- Legal and IP Data
- People and Employment Data
- Political Data
- Psychology Data
- Real Estate Data
- Retail & Commerce Data
- Social Data
- Space Exploration Data
- Sports & Entertainment Data
- Web Data
Vehicle Telemetry
How Is External Data Used in Vehicle Telemetry?
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.
How are Machine Learning Models Used in Vehicle Telemetry?
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.
Which Companies Lead the Way in Building Advanced Analytics and Machine Learning Products in This Field?
OnStar
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.
Continental Automotive
With a suite of long-range telemetry devices, Continental Automotive distinguishes itself as the number one choice for industrial applications.
Altair
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.
Connected Datasets
PipeCandy eCommerce Leads & Insights for Fulfillment
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
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 Predictive Credit Technology
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.