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Indicators of distracted driving are not always obvious, so the use of machine learning can help to uncover the signs that drivers are distracted. Understanding driver behavior via the use of connected cars can help organizations make data-driven decisions to reduce safety risks and improve commercial driver productivity. Join Intel and Hazelcast on Thursday, May 13th at 12pm EST, for a one-hour webinar on Real-Time Analysis of Driver Behavior Using Machine Learning.
You’ll learn about:
*Applying machine learning to multiple drivers’ historical data to determine driving patterns
*Using these patterns in real-time to identify the level of driver distraction
*How such insight applies to other environments pertaining to driver safety, driver riskiness for insurance, and delivery efficiency
Provided by:
IoT World Today and Intel & Hazelcast
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