Historically, fleet operators managed safety risks with training programs, manual coaching sessions and manager ride-alongs with drivers…

Then, in the early 2000s, fleet managers looked for an alternate approach that would be more effective. They began to introduce telematics that used Internet of Things sensing and recording devices. These IoT devices automatically measured characteristics of driving based on vehicle motion such as speed, acceleration and braking, and reported that data to centralized databases and applications in the corporate office…

The missing ingredient was analytics. As fleet managers realized this, they began to augment telematics and IoT with AI and computer vision. AI, and also more big data technology like computer vision, gave fleet managers the more complete and comprehensive picture of driver safety and road conditions that they had been looking for.
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