Much of the discussion around AI focuses on efficiency, but safety remains one of the primary use cases for many fleet applications.
According to Samsara, AI-powered safety tools are designed to help drivers avoid incidents before they occur, while also giving fleet managers more visibility into risk factors across their operations.
Patrick Barragán, vice president of AI at Samsara, said the broader goal is helping people perform their jobs more safely and effectively.
Connecting Safety Data to Real-World Outcomes
Barragán pointed to crash-prevention data collected across the company’s network, arguing that the impact extends beyond operational metrics. Using mileage and crash-prevention estimates, he said the technology has the potential to reduce accidents and improve roadway safety at scale.
“We need this technology to be seen as what it actually is,” Barragán said. “Which is enabling safety, enabling efficiency, helping people do their jobs more effectively.”
Rather than focusing solely on automation, many organizations are measuring the success of AI through outcomes such as fewer incidents, improved driver performance and safer operations.
Visit Fleetequipmentmag.com to watch the video with Samsara’s Patrick Barragán to get the full details.