Idelic’s VP of Marketing, Tara Beeby, met with Boyle Transportation’s Director of EHS & Quality, Michael Lasko, TForce Freight’s Director of Health & Safety, Scott Reagan, and Idelic’s CTO, Brian Filip, in a virtual event to discuss how Artificial Intelligence (AI) and Machine Learning (ML) are leveraged by the safest fleets to optimize driver safety programs.
‘Early” Safety Programs Before AI/ML
Commercial Carrier Journal reported in 2020 that the average truck generates about 2.5 terabytes of data per year, including data from telematics, electronic logging devices (ELDs), and other sensors. This makes the use of systems like telematics, camera events, police/witness reports, etc. helpful, but not an efficient or effective way to monitor driver behavior. Trying to make sense of all this data alone creates a reactive approach to risk management, less targeted training, and a noncomprehensive view of driver data. The results include additional losses, higher CSA scores, and higher insurance costs.
This means more data is not the answer – what’s most important is finding an efficient way to use that data.