A new CONiX data processing tool from b-plus is designed to enhance data systems and foster improved AI capabilities across various industries, ensuring and elevating the quality of data used in AI systems.
Marius Reuther, product manager at b-plus, said, “Our offering includes not only comprehensive data analysis but also data quality optimization and complete transparency in the data processing process. A true game-changer for efficient data processing.”
The solution focuses on evaluating data sets and labels, presenting findings in a Quality Assurance Report that highlights data quality and label errors, along with suggestions for improvement. Secondly, the solution excels in creating specifications tailored to specific use cases, drawing on extensive experience with diverse data sets. It also provides practical support for customers in choosing suitable partners for labeling projects.
Developed to address the biggest challenges faced by customers in dealing with AI systems, the model incorporates intelligent data capture with adaptive real-time algorithms, enhancing transparency and efficiency in storage management during the recording process.
Regardless of the industry or sensor type, whether radar, camera or lidar, the solution is suitable for all companies in need of exceptional data for training their neural networks.