Driving is an essential part of our daily lives, but it can also be dangerous. According to the National Highway Traffic Safety Administration (NHTSA), there were over 36,000 fatalities on U.S. roads in 2019 alone. To improve driver safety, SambaSafety has developed an automated custom R workload that uses Amazon SageMaker and AWS Step Functions.
SambaSafety is a leading provider of driver risk management solutions. Their automated custom R workload uses machine learning algorithms to analyze driver behavior and identify potential risks. The workload is designed to be highly customizable, allowing organizations to tailor it to their specific needs.
Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning models quickly and easily. With SageMaker, SambaSafety can train their machine learning models on large datasets and deploy them in real-time.
AWS Step Functions is a serverless workflow service that makes it easy to coordinate distributed applications and microservices using visual workflows. With Step Functions, SambaSafety can automate their custom R workload and create complex workflows that can handle large volumes of data.
Together, these services provide a powerful platform for improving driver safety. By analyzing driver behavior in real-time, SambaSafety can identify potential risks and take proactive measures to prevent accidents before they happen.
One of the key benefits of SambaSafety’s automated custom R workload is its ability to identify high-risk drivers. By analyzing data such as driving history, traffic violations, and accidents, the workload can identify drivers who are more likely to be involved in accidents. This allows organizations to take proactive measures such as additional training or coaching to improve their driving skills.
Another benefit of the workload is its ability to monitor driver behavior in real-time. By analyzing data from sensors such as GPS and accelerometers, the workload can detect risky driving behavior such as speeding, harsh braking, and sudden lane changes. This allows organizations to take immediate action to prevent accidents before they happen.
In addition to improving driver safety, SambaSafety’s automated custom R workload can also help organizations reduce costs. By identifying high-risk drivers and taking proactive measures to improve their driving skills, organizations can reduce the number of accidents and associated costs such as insurance premiums and vehicle repairs.
Overall, SambaSafety’s automated custom R workload using Amazon SageMaker and AWS Step Functions is a powerful tool for improving driver safety. By analyzing driver behavior in real-time and identifying potential risks, organizations can take proactive measures to prevent accidents before they happen. With the ability to customize the workload to their specific needs, organizations can tailor it to their unique requirements and achieve maximum results.
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- Source: Plato Data Intelligence.