All Digital
Data Science and AI

Uncover your hidden data treasures

The clever use of data is one of the most important drivers of innovation for companies. It enables the optimisation of existing processes and opens up new business models. We help you to exploit this enormous potential with the help of data science and artificial intelligence (AI).

Our offer

A wealth of expertise in data analytics and artificial intelligence

Strategic consulting

We guide you safely through the world of big data, machine learning and (generative) AI. We identify potential and develop a tailored strategy for you

Roadmapping

Based on your commercial goals and your individual jumping-off point, we develop roadmaps for projects relating to data analysis and AI

Forecasting

We create reliable forecasts and projections for your business based on large databases and we develop algorithms for efficient optimisation

Data visualisation

Sometimes a picture is worth a thousand words. Wwe show you what's in your data with simple and clear visualisations of the results

AI solutions

We use computer-aided image, object and character recognition to implement new applications, from simplified ordering processes to parking guidance systems

Predictive maintenance

Analysing sensor data offers opportunities to detect problems relating to material wear at an early stage and improve maintenance processes

Why data science AI?

In the age of the Internet of Things (IoT), Industry. 4.0 and Big Data, a strategic alignment in terms of Data Science AI is a must for companies in almost all sectors.

Businesses that still make decisions based on gut instinct risk being at an immense competitive disadvantage. Based on pattern recognition and predictive analyses, companies can make more informed data-driven decisions and optimize processes. In addition, the use of data provides an essential basis for new business models and innovative services and products.

With our solutions and expertise, we help you to develop your roadmap and to capture, process and understand objects, data and images. We use common methods such as the Cross-Industry Standard Process for Data Mining (CRISP-DM). We support you from the initial concept through prototyping to productive application.

Benefits of data science AI for your business

Get more out of your data with us.
We help you with all the processes involved in data-supported value creation.

Improved decision-making

Informed, data-driven decisions

Automation of tasks

Automate repetitive tasks with AI

Predicting trends

Faster reactions through forecasts

More efficient operating processes

Improvement of processes through data analysis

Personalised services

Individual recommendations and offers

Higher customer satisfaction

More innovative product development

Our approach

How we implement the CRISP standard for data mining

In the first step, we determine the potential of data analytics AI for your business. Which use cases come into question? What goals should be achieved? What is the expected added value? These goals, once defined, can be refined going forwar

We then consolidate the available data. This includes analysing sensor data, for example. We check the quality of existing data and evaluate whether new data sources may need to be developed for the desired use cases

In the next step, we create a statistical model to solve the given problem. Here we rely on methods such as feature engineering, machine learning (supervised, semi-supervised, unsupervised), artificial neural networks (ANN) and deep learning (DL)

The implemented model is then reviewed in detail. The analysis and evaluation focus on performance, but also on the achievement of the defined goals

The final step involves integrating the model into a productive environment and deploying it in the intended process

Tech stack

Which data science AI tools we work with

In the field of data science and artificial intelligence, we rely on common tools, technologies and industry standards such as the Cross-Industry Standard Process for Data Mining (CRISP-DM).

We currently use the following tools in particular:
  • R
  • Python
  • SAP Cloud AI
  • Tensorflow
Workshop

AI model: Optical recognition of objects

Use cases

  • Technical labels or components are photographed. The numbers or objects identified are used to select materials in SAP systems
  • The meter reading and meter number are extracted from the photo of a meter and the values are automatically posted in the SAP system
  • People or vehicles can be detected and counted, for example, to determine the utilisation of rooms, buildings or parking bays

Services

  • Customised tailored model for the optical detection of objects or persons
  • Continuous improvement of recognition by integrating further display options
  • No hardware required at the customer’s premises, hosting via teamative
  • Scalable in terms of volume

Discover our services