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Companies who manage a fleet of vehicles are looking to avoid unexpected warranty costs, lower other operational costs, and reduce unplanned vehicle downtime. Analytics & Insights solutions provide cloud-based machine learning tools designed for data scientists, which DevOps teams can use alongside their existing high-level systems. These solutions automate much of the up-front data wrangling involved with digital solutions, saving developers time, improving productivity, and providing scalable near-real-time solutions that process the data collected from fleet vehicles.
CerebrumX's AI driven platform collects & harmonizes data from millions of vehicles, in real-time, and enriches it with augmented data to generate deep & contextual insights for enterprises.
MongoDB Atlas is a developer data platform with features such as flexible document model, horizontal scalability, global distribution and high availability, making it ideal for connected vehicle applications that require real-time data processing and massive scalability. MongoDB Atlas can be integrated with AWS Connected Mobility Solution (CMS) modules making it easy to develop and deploy connected vehicle solutions.
The Automotive Data Transformer (ADT) is a powerful cloud-based SaaS tool for fast vehicle data processing. It supports MDF format and integrates with AWS S3. With easy API calls, even non-experts can extract metadata and convert signal data to Parquet, JSON or CSV securely and reliably. Therefore ADT enables data analysis, simulation, and ML model improvement for automotive companies and simultaneously saves time and resources for implementation and maintenance.
