Case Studies
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Overview
Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics Application Infrastructure & Middleware - Data Visualization | |
Automotive Software | |
Product Research & Development Quality Assurance | |
Machine Condition Monitoring Predictive Maintenance | |
Data Science Services System Integration Training | |
Operational Impact
Highly accurate annotation is crucial for supervised learning, as the quality of reference data determines the AI's ability to identify objects clearly. | |
The iterative approach with feedback loops and continuous requirement refinement helped achieve the defined quality goals early and continuously. | |
The experience and expertise of recognized annotation specialists were invaluable for an economical and efficient approach. | |
Quantitative Benefit
Training neural networks can take several days or weeks, depending on the depth of the network and the amount of data. | |
The project involved recording data from diverse traffic environments, including highways, country roads, and urban areas. | |