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At ndaal, we understand the role of automation engineering as a core technical competence to be able to develop existing IT service landscapes either as part of a transformation towards a cloud native environment or simply to establish a greenfield environment based on cloud technology, independent of vendors, and proprietary technology.
At ndaal we believe in the data science and therefore we invest into AI as a core solution to accomplish complex challanges in regard to any kind of data. We want to unleash the power of data and therefore turn raw data in valuable insights that any organization needs to compete in global competition
Interdisciplinary work is also favoured here in order to operate a DevSecMLOps model. Here we use our knowledge in the area of DevSecOps and expand this with the special discipline of MLOps.
Everything as a code may sound strange, but having a closer look into the latest technologies used in IT industry, functionality is being put off the hardware devices and re-baked into software, to us this means we not just need to write an app to control a function based on hardware, instead we define and distribute the functionality out of the software itself and distribute it over the hardware layer