BRIX is a product verification and validation management (PVM) platform to manage complete validation life cycle (VLC) for each function. An engineer uses this platform to manage test data across big data clusters in a distributed environment. BRIX provides semantics and a data access layer to big data clusters so that big data analytics can be performed in a distributed environment. Once a digital twin strategy is realized in a product validation area, OEMs will have the foundation for artificial intelligence (AI) and machine learning (ML).
Engineers working on crucial and complex test data are the end users; for example, R&D engineers and validation engineers. BRIX enables them to organize their data effectively by uniformly storing the data from heterogeneous sources. This data is stored with a well-defined semantics meta model. High-performance parallel computing is offered to handle volume and variety of data. Organized data can be effectively used by the engineer for parallel processing the algorithms and analytics. BRIX organizes engineering data into standard data formats. Data pools are exposed as custom data stores. Engineers can perform analytics jobs on this custom data store through Rest or Java APIs from MATLAB.
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