More and more companies are using the offerings of the large cloud platform providers. However, depending on the use case, the requirements here for customer needs and legal framework conditions are often very different.

We support you in the areas of cloud platform providers, use case specific data architecture and powerful open source solutions to find the optimal solution for you.

Whether in your core business or in new lines of business, a sustainable and overarching benefit from your corporate data depends on stringent data organisation and maintenance ensured by data governance.

The aim is to create the basis for Data & AI solutions by implementing defined standards in the areas of data quality, roles and processes in handling data, data architectures, data transparency and security as well as compliance.

Together with you, we develop and implement sensible procedures and standards according to your individual requirements.

Our MLOps experts deal with setting up the processes, people and technological tools needed to carry out machine learning from start to finish.

We support iterative model development (ML), production and scaling (Dev) and the ultimate live operation of machine learning products (Ops).

Predictive maintenance is currently the most advanced type of maintenance available. With time-based maintenance, there is a risk that companies perform too much or too little maintenance. With reactive maintenance, maintenance is performed when needed, but at the cost of unplanned downtime. Predictive maintenance solves these problems.

Our experts can help you implement PdM in your company to optimise maintenance cycles.

Recommender systems are software that makes meaningful suggestions to users and thus supports them in their decision-making.

Popular examples of use include "What items should I buy?", "What movie should I watch?", "What news should I read?" or "What songs should I listen to?".

Forecasting is the term used to describe the prediction of certain events based on data. Forecasting use cases serve to predict the future where the actual outcome is still unknown and can only be estimated based on past events. The aim is to improve the quality of the forecast and thus to be able to make better predictions.

Our forecasting experts support you in using forecasting to make the best possible predictions for your use cases.

In the field of NLP (Natural Language Processing) we deal with the interaction between computers and human language. The goal of NLP is to automate the understanding, interpretation and output of human language by computer systems.

NLP is the industry's answer to the realisation that large amounts of text data often go unused, even though they are valuable for achieving business goals.

With our knowledge and experience in NLP projects we support you in the implementation in your company.