SambaSafety Elevates Driver Risk Analysis with AWS Machine Learning and Firemind Partnership

As the leading North American provider of cloud-based mobility risk management software, SambaSafety’s mission is to promote safer communities by reducing risk through data insights. However, deploying complex and proprietary modeling solutions for batch and real-time inference had been a challenge, with manual workarounds proving time-consuming and labor-intensive. Additionally, there was a need to connect…

Written by

Casey Jones

Published on

June 17, 2023
BlogIndustry News & Trends

As the leading North American provider of cloud-based mobility risk management software, SambaSafety’s mission is to promote safer communities by reducing risk through data insights. However, deploying complex and proprietary modeling solutions for batch and real-time inference had been a challenge, with manual workarounds proving time-consuming and labor-intensive. Additionally, there was a need to connect the existing data science workflow to a continuous delivery solution.

To overcome these obstacles, SambaSafety collaborated with Firemind, an AWS Advanced Consulting Partner, and Amazon Web Services (AWS). Together, they integrated AWS Machine Learning (ML) and Continuous Integration and Continuous Delivery (CI/CD) tools into SambaSafety’s operations. Utilizing AWS CodeStar, AWS Step Functions, and Amazon SageMaker, the partnership paved the way for significant enhancements to their driver risk analysis platform.

One of the most noteworthy achievements of this collaboration is that SambaSafety’s data science team has maintained their existing workflow while reaping the benefits of continuous model training and inference. By implementing AWS ML and CI/CD tools, they have streamlined crucial tasks such as data preprocessing, feature engineering, model creation, model tuning, and model comparison and validation. The new solution reduces the manual work required in model versioning and hosting for inference.

By optimizing their risk analysis platform, SambaSafety not only ensures the ongoing development and innovation of its software but also benefits their end-users such as employers, insurance carriers, and background screeners. By leveraging AWS ML and CI/CD tools like AWS CodeStar, AWS Step Functions, and Amazon SageMaker, SambaSafety’s platform is poised to transform the way driver safety and risk management are assessed.

Advanced data analysis tools, such as those provided by AWS, can empower organizations like SambaSafety to continue innovating and making informed decisions. The adoption and integration of cutting-edge technologies like machine learning and CI/CD tools play a vital role in promoting safety across communities by minimizing risk and enhancing driver safety.

In summary, the successful partnership between SambaSafety, Firemind, and AWS has significantly elevated the capabilities of SambaSafety’s driver risk analysis platform. The collaboration has optimized various processes, including data preprocessing, feature engineering, model creation, model tuning, and model comparison and validation. Ultimately, the improved platform boasts potential to create safer communities for everyone, through the combination of advanced data analysis, machine learning, and continuous integration and continuous delivery tools.