DataOps Services
In our DataOps we take care of the operation and maintenance of your platforms and machine learning algorithms. Have you already successfully implemented a data product and now want to ensure that everything runs smoothly? Then feel free to contact our DataOps experts. They will support you in setting up appropriate processes and integrating them into your company's daily routine.
DataOps
Customers who trust us
DataOps in detail
Operating concept
Actual state analysis
MLOps
The long-term use and maintenance of one or more machine learning models can only succeed on the basis of a powerful infrastructure.
MLOps is a collection of different methods and software tools that are used to overcome the challenges that the productive operation of ML models entails.
Service catalogue
Our data engineering experts
Dr Christina Sievers
Senior Principal Data Scientist
Jörg Bienert
CCO
Case Study: DataOps at Munich Re
Munich Re is one of the world's leading reinsurers and has a huge amount of risk information at its disposal. In order to collect this knowledge in one central place and enrich it with further data, Munich Re developed aData Lake. In cooperation with [at], the operation of this data lake was professionalised and the data pipelines expanded.
You can find more information about this project in our free case study.
What our customers say
You still have questions or want to start directly?
Then contact us!
Simon Decker
Data & AI Projects