PAIPline Platform
- Project
- 19027 AIToC
- Type
- New product
- Description
The PAIPline Platform is an advanced, modular data processing system designed to transform raw data into valuable outcomes. It operates as a data processing pipeline, guiding data from its source to the final destination through various stages of processing. This pipeline is integral for handling diverse data types and executing complex processing tasks.
- Contact
- Dimitri Penner
- dimitri.penner@eks-intec.de
- Research area(s)
- Theme 2
- Technical features
Data Source Module: Initiates the process by importing raw data from various sources such as files, databases, or the WP2 Data Marketplace. Data Processing Modules: The data then goes through multiple processing stages including preprocessing, data conversion, and AI training modules. Data Flow Management: Connections between modules represent the data flow, ensuring a smooth transition from one stage to another. Data Sink/Exporter Module: Concludes the pipeline by exporting processed data or results in a specified format like FMU.
- Integration constraints
Python, NumPy, TesorFlow, GrpC, Cmake, Compileroolchain (MS-Compiler/GCC)
- Targeted customer(s)
Data scientists, functional model developer
- Conditions for reuse
partly openSource For specific modules purchase of a license will be required
- Confidentiality
- Public
- Publication date
- 01-11-2022
- Involved partners
- EKS InTec GmbH (DEU)
- isb innovative software businesses GmbH (DEU)
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