August 28, 2019
1PM CDT // 11 AM PDT

Road Risk: Road Safety and IoT Data

August 28, 2019 - 1 PM CDT // 11 AM PDT

Join Expero and Moove.ai to learn more about revolutionary new concepts with ML & Graph technology that can help save lives and increase road safety using IoT data. Leveraging real-time input from connected cars and fleets at scale is one of the most challenging problems today. Moove.ai’s new Galileo and Da Vinci platforms offer a cloud based system that utilizes data visualization. Patent pending ML allows the user to analyze real-time data to create and view road risk, better safety, IoT based analytics and many other key elements for vehicle OEM’s, autonomous driving, fleets and insurance industry specialists.

Predict, Identify, and Intervene with Graph & ML Analytics.

Copyright © 2019 Expero - All rights reserved.

Road Risk: Road Safety and IoT Data

August 28, 2019 - 1 PM CDT // 11 AM PDT

Join Expero and Moove.ai to learn more about revolutionary new concepts with ML & Graph technology that can help save lives and increase road safety using IoT data. Leveraging real-time input from connected cars and fleets at scale is one of the most challenging problems today. Moove.ai’s new Galileo and Da Vinci platforms offer a cloud based system that utilizes data visualization. Patent pending ML allows the user to analyze real-time data to create and view road risk, better safety, IoT based analytics and many other key elements for vehicle OEM’s, autonomous driving, fleets and insurance industry specialists.

Predict, Identify, and Intervene with Graph & ML Analytics.

INCLUDED TOPICS:

  • Driver Safety and Risk Overview -  Why the task of vehicle IoT, and all related real-time elements are so hard to solve for both Vehicle OEM’s, Fleets, Insurance and reinsurance providers, and for end customers.
  • Road Risk and Driver Safety - Approaches and technology to provide real-time views, scoring of road segments, risk, and related details, and relationships using Graph & Machine Learning.
  • Aggregated Risk Analysis - Why the Galileo ML algorithms are revolutionary with the integration of weather, vehicle sensors and the ability to categorize, segment, filter and score risk factors with real-time data with Graph & Machine Learning.
  • Machine Learning - Create predictive outcomes and visualizations for "Treasure Mapping" and correlations not seen before.

INCLUDED TOPICS:

  • Driver Safety and Risk Overview -  Why the task of vehicle IoT, and all related real-time elements are so hard to solve for both Vehicle OEM’s, Fleets, Insurance and reinsurance providers, and for end customers.
  • Road Risk and Driver Safety - Approaches and technology to provide real-time views, scoring of road segments, risk, and related details, and relationships using Graph & Machine Learning.
  • Aggregated Risk Analysis - Why the Galileo ML algorithms are revolutionary with the integration of weather, vehicle sensors and the ability to categorize, segment, filter and score risk factors with real-time data with Graph & Machine Learning.
  • Machine Learning - Create predictive outcomes and visualizations for "Treasure Mapping" and correlations not seen before.

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Road Risk: Road Safety and IoT Data

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