Understanding data, using technology with purpose

From Informatics studies to data science

Daniel's Informatics studies at IMC Krems laid the foundation for his professional career. What he particularly valued was the combination of theoretical knowledge and practical application. After completing his bachelor degree, he continued his academic journey with a master degree in Artificial Intelligence at Johannes Kepler University Linz, further specialising in data science and data-driven systems.

Today, he works full-time as a Data Scientist, developing and analysing solutions that transform data into actionable insights and help organisations better understand complex processes.

Data, Artificial Intelligence and entrepreneurship

Alongside his professional career, Daniel founded Netzl Data Solutions. His goal is to make professional data and software solutions accessible to small and medium-sized enterprises as well as regional organisations. Rather than focusing on increasingly complex AI systems, he concentrates on solutions that deliver tangible value in everyday business operations.

At the same time, he takes a thoughtful and critical approach to the role of Artificial Intelligence. In his view, its value should not be measured solely by productivity gains or cost reductions. Social responsibility, long-term societal impact, and environmental sustainability must also be part of the conversation.

Sharing knowledge with future generations

Daniel has remained closely connected to IMC Krems even after graduation. As a Python tutor, he supported students in their first steps into programming and helped them understand complex concepts one step at a time.

Through this experience, he learned how important it is to communicate technical knowledge in a clear and accessible way. In computer science, it is not enough to understand a solution yourself. It is equally important to explain it to others and collaborate on improving it.

Daniel Netzl in his own words

You work extensively with Artificial Intelligence. How do you think AI will change the IT industry over the next five to ten years?

AI will probably be seen less and less as a separate discipline and more as a normal component of software products and business processes. Programming, data analysis, documentation and research can already be significantly supported by AI today, and this trend will continue.

However, this does not mean that IT professionals will become obsolete. Their responsibilities will change. It will become increasingly important to define the right problems, truly understand systems and data, critically evaluate results, and take responsibility for the solutions being implemented.

I also hope that we do not evaluate AI solely in terms of how much time or money it saves. We should equally consider its social and environmental impact.

Many tasks can already be supported by AI today. Why is studying Informatics more valuable than ever right now?

An Informatics degree is not simply about learning programming languages or specific tools. These can change very quickly. What really matters are the fundamentals: How do algorithms, databases, software architectures and networks work? How do we evaluate data? How do we identify errors and security risks?

AI can generate code and suggest solutions, but it cannot guarantee that these solutions are correct, secure, or appropriate for the actual problem. Those who understand the fundamentals can use AI effectively and critically assess its output. That is exactly why a solid education in Informatics is becoming even more important.

Which skills and competencies will future IT professionals need most?

In addition to strong technical foundations, I believe curiosity, a willingness to learn, and a certain level of resilience are particularly important. No one can master every framework or every new tool that appears. What matters is the ability to independently learn and adapt to new topics.

Communication is equally important. IT professionals need to explain technical concepts to people who do not have a technical background. Just as importantly, they need a critical mindset. The fact that a technical solution is possible does not automatically mean that it is the right solution.

When you're not working with data, software or AI, how do you like to spend your free time?

I find balance mainly outdoors and through activities that result in something tangible at the end. I enjoy working in my garden and exploring how even a small space can become a natural habitat.

I also enjoy cooking, reading about social and environmental topics, and spending time with my family and friends. After a day spent in front of a screen, I appreciate activities that are slower, more immediate and more connected to the real world.

Informatics