Company study on the topic of "AI & Data Science" 2025
Data science and artificial intelligence (AI) have long been key drivers of innovation in all industries. But what exactly is data science and how does it relate to AI? How far along is your company in implementing data-driven processes? What role do data quality, analytics expertise and AI-supported tools play in your day-to-day business?
How data-driven is your company really?
In our current study, we analyse the maturity level of companies in the areas of data science and AI – across industries, sizes and maturity levels. The aim is to draw a clear picture of the state of development in German-speaking countries and to create benchmarks for practical use.
Why participate?
- You reflect on the status quo with regard to the implementation progress of data science & AI in your company
- You will receive the results exclusively in a unique webinar presented by us in autumn 2025
- Compare your position with the reality of AI in SMEs
- You will have the opportunity to book a free, no-obligation consultation with one of our experts to ask questions on the topic of "Data Science & AI" or to confidentially address shortcomings in your company
It only takes 4 - 6 minutes to take part – your details are anonymous and will of course be treated confidentially. Please select your language first.
What is data science & AI?
Data science is the science of gaining knowledge from data. It involves collecting and analysing large amounts of data and deriving correlations, patterns and forecasts from it. Data scientists use various methods from statistics, computer science and mathematics.
Examples:
- A company analyses sales data to identify seasonal trends.
- Sensor data from machines is analysed to predict breakdowns.
Artificial intelligence refers to systems or machines that perform tasks that normally require human intelligence – for example, understanding language, recognising images or making decisions. AI learns from data and improves with every use.
Examples:
- A chatbot answers customer questions automatically.
- Image recognition software sorts out quality defects in production.
How are data science and AI connected?
Data science provides the basis for AI – namely clean, structured and analysed data. AI cannot function without this database. At the same time, AI is a tool within data science that is used in particular when traditional analyses reach their limits, for example with large amounts of data or complex patterns.
So you could say:
- Data science is the toolbox that contains many methods – including AI.
- AI is a particularly powerful tool that data scientists use when it comes to automated learning and decision-making.
Join us in designing the next study on the reality of AI in companies. It only takes 4 - 6 minutes to take part – your details are anonymous and will of course be treated confidentially. Please select your language first.
ARRANGE A MEETING/CALL WITH OUR DATA SCIENCE & AI EXPERTS
Philip Zellweger
Lead engineer data science & AI
"Everyone is talking about artificial intelligence (AI) these days. Nevertheless, the topic is still not sufficiently concrete for many companies. The realisation of AI-supported solutions requires skills and competencies that are not available in many companies. With state-of-the-art software engineering combined with our many years of consulting experience, our Data Science & AI team develops innovative solutions."
Patrick Zellweger
Lead engineer data science & AI
"The business and optimisation potential through the use of data science & AI is only partially addressed in most companies. Many companies are not aware of the existing potential that arises from existing data and the use of state-of-the-art technologies and algorithms. Our Data Science & AI team supports companies in monetising this potential."