Mercedes-Benz Tech Innovation transforms the car experience
Mercedes-Benz Tech Innovation (MBTI) adopted the Databricks Data + AI Platform to process sensor data streams from millions of vehicles and EV charging stations. Databricks SQL cut query and loading time from 192 hours to 90 minutes, and MBTI now runs machine learning models on the lakehouse architecture to analyze vehicle battery capacity, route information and charging station locations, providing drivers with optimized route planning and charging stops.
Overview
Mercedes-Benz Tech Innovation (MBTI) adopted the Databricks Data + AI Platform to process sensor data streams from millions of vehicles and EV charging stations. Databricks SQL cut query and loading time from 192 hours to 90 minutes, and MBTI now runs machine learning models on the lakehouse architecture to analyze vehicle battery capacity, route information and charging station locations, providing drivers with optimized route planning and charging stops.
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Inspect the highlighted sourceThe challenge
Mercedes-Benz Tech Innovation needed a scalable data architecture to process massive streams of sensor data from millions of vehicles worldwide and accelerate data-driven decisions across the organization, which was not previously possible with legacy infrastructure.
The solution
Mercedes-Benz Tech Innovation used Databricks SQL to drastically reduce loading and query times, and applies machine learning models on top of a lakehouse architecture to analyze vehicle capacity, route information and EV charging station locations, providing drivers with optimized route planning and convenient charging stops.
Reported business value
The platform enabled Mercedes-Benz Tech Innovation to execute advanced business intelligence and analytics on massive volumes of big data not previously possible with legacy infrastructure, and gives drivers peace of mind as they manage battery charge in their cars.
Sources
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