SITUATION:
AI-Machine Learning System Seeks to Provide Complete Vehicle Management;
Knows Which & When Vehicles Need Repairs Ahead of Time Including Pending Failures.
New management tool & resources for fleet management.
SIGNIFICANCE:
Systems fills need for continuous data transfer between vehicles and the cloud.
Meets challenge of predicting & anticipating automotive part failures.
Machine learning manages, analyzes, & utilizes vehicle data.
Platform integrates existing infrastructure for connected vehicles.
Patented DriverSense algorithm builds an individualized vehicle profile.
Provides vehicle operators of the vehicle discovering characteristics.
SOLUTIONS:
Viaduct’s cloud platform derives actionable insights from connected vehicle data.
System powers applications such as predictive maintenance, driver personalization.
System seeks to provide complete vehicle management system.
Including monitoring driving behavior & tracking vehicle condition.
Vehicle automatically personalizes its adaptive driving systems.
Based on driver and how the vehicle is being driven.
MORE ON VIADUCT SYSTEM:
Viaduct has built the data infrastructure needed to connect vehicles.
An analytics engine uses data to predict a part failure.
Does so on massive scale with multivariate time-series analysis.
Provides the intelligence layer so desperately needed.
Aggregates Usage Based Vehicle Insurance Underwriting from Third Party
KEY PEOPLE:
Matej Drev , Head of Business Development;
David Hallac (right), Founder and CEO;
Scott Brady. Innovation Endeavors company
SOURCES:
Smarter Vehicles –Resources for Fleet Management – https://medium.com/innovationendeavors/your-vehicle-is-about-to-be-a-lot-smarter-52127dfd7348
