DataOps & MLOps Services
In our DataOps and MLOps 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 make sure that everything runs smoothly? Then feel free to contact our experts. They will support you in setting up appropriate processes and integrating them into your company's daily routine.
DataOps
Customers who trust us
Our range of services:
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
MLOps in detail
The term MLOps consists of Machine Learning (ML) and Operations together. MLOps represents a Further development of the known DevOps-philosophy, however, around the 2 Dimensions of the data and the Machine Learning models extended. Since both data and the resulting resulting Models are not deterministic and ständigen Changes are subjected to, new challenges have emerged in recent years. Methods and software–Tools formed in order to den increased requirements.
For Organisations that long-term ML models operational operate and scale is a fully developed MLOps strategy is therefore a must.
DataOps in detail
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
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Simon Decker
Data & AI Projects