Transfer of Machine Learning Models into software solutions with Python
With the new development of the automation software for test systems, ZF Friedrichshafen AG is building on many years of success with its previous software solutions and is consistently laying the foundation for the future. cluetec supported the ZF team in the conception and development of a central software module for data management and consistent data exchange between different components of the ZF test system.
A challenge were the high demands on performance and stability with large amounts of data, as well as the transfer of existing machine learning models into performant modules. As a result, a software that meets all requirements was released on time and within budget.
Customer: ZF Friedrichshafen AG
In a nutshell
- Software development based on Python
- Service-based application architecture
- Asynchronous frameworks in Python
- IPython and numPy for numerical tasks
- Plugin-enabled core components
- Test-driven development