Focused on informal, experiential learning and real-world projects, the Digital Talent Lab bridges the gap between academic excellence and industry needs. We spoke with Professor Jan Slovák, a leading figure in the initiative, about how the Lab is shaping the next generation of digital talent.
Department of Mathematics and Statistics, MUNI
Studied at the Faculty of Science at Masaryk University (SCI MUNI) from 1979 to 1983. He obtained his doctorate at Charles University in Prague in 1990. He served as Dean of the Faculty of Science at Masaryk University, Vice-Rector for Strategy and Development at Masaryk University, Chairman of the Scientific Committee of the Czech Science Foundation in the field of Physical Sciences, member of the working group preparing the establishment of the Czech Technology Agency, also as the Director of the Department of Mathematics and Statistics at SCI MUNI. He is the editor-in-chief of the prestigious journal published by Elsevier, Differential Geometry and its Applications. Since 2022, he has been developing the idea of education in Data Analytics, ML and AI with Stan Sobolevsky. That effort has ultimately found its best expression in the activities of the Digital Talent Lab at MUNI in 2025.
Before we start, please explain what data analysis is in the context of the Digital Talent Lab?
Data analysis is a field of activities and techniques for processing and using big data with the aim of revealing useful information and thereby facilitating decision-making. Its importance continues to grow with the digitalisation and automation of today’s world. It includes aspects of preparation, inspection, cleaning, transformation, modelling, description, visualisation and machine learning. Nearly everybody in Science & Technology or Humanities needs this and people who can think mathematically and work with data in a sophisticated manner have a strong competitive advantage. At the Digital Talent Lab, we focus on nurturing these habits and mindsets through hands-on, real-world projects and collaboration.
What is Machine Learning and Artificial Intelligence, and how do they fit into the Digital Talent Lab?
Machine Learning (ML) and Artificial Intelligence (AI) are at the heart of today’s data revolution. In simple terms, Machine Learning is a set of methods that allow computers to “learn” from data, i.e., identify patterns, and make predictions or decisions without being explicitly programmed for each task. Artificial Intelligence is a broader concept that includes ML but also covers other approaches to making machines “smart”—from logical reasoning to full imitation of natural language understanding.
From a mathematician’s perspective, ML and AI are fascinating because they turn abstract mathematical ideas—like optimization, probability, and geometry—into practical tools that can solve real-world problems. At the Digital Talent Lab, we approach ML and AI not just as technologies, but as fields where mathematical thinking and creativity are essential. Our participants get to experiment with these tools on real projects, learning how to move from raw data to intelligent solutions that make a real impact.
Can you tell us about the Digital City Lab, led by Prof. Stan Sobolevsky, and its connection to the Digital Talent Lab?
The opportunity arose primarily thanks to the vision and expertise of Stan Sobolevsky, who is a globally recognized data scientist with strong mathematical background. His Digital City Lab developed over more than a decade, from the Senseable City Lab at MIT, through the Urban Complexity Lab at NYU, moving its center of activity to MUNI now. The Digital Talent Lab is an activity which has been created as a hybrid platform—combining online and in-person experiences—and is tightly connected to real-world industry projects. Our goal is to provide a flexible, informal learning environment that keeps pace with the rapidly evolving tech landscape. The Digital City Lab focuses on understanding and shaping the dynamics of modern urban environments through advanced data analytics, AI, and interdisciplinary collaboration. For participants in the Digital Talent Lab, this means direct access to cutting-edge research and the opportunity to work on projects that have real impact on how cities function and evolve. It’s an exciting space where Data Analysis, ML, and AI meets urban innovation, and we’re eager to welcome new minds into this vibrant community. As you can read in interview with Stan Sobolevsky here.
Who is the Digital Talent Lab intended for?
Our motivation is to reach a wide target group of all digital nomads in diverse areas, who have identified the need of Data Science literacy in their own subjects, and they are looking for ways to deepen their expertise and stay ahead in the fast-moving world of data and AI—without the constraints of a traditional degree programme. The Lab’s informal, project-based approach is perfect for those who want to learn by doing, not by sitting in a classroom all day.
Why is now the right time for this kind of informal learning in data and AI?
We’re at a turning point. With the rise of generative AI, the demand for creative, mathematically-minded problem-solvers is only increasing. The most valuable professionals are those who can combine technical skills with deep insight—and that’s exactly what the Digital Talent Lab cultivates. Our approach is all about flexibility, relevance, and real-world impact.
What can participants expect to gain from the Digital Talent Lab?
We offer a chance for people to extend their qualifications and develop a ‘data-driven mathematical mindset’—the habit of thinking mathematically about real data and working with it in a sophisticated manner. Through experiential learning, internships, and mentorship, participants build both the hard and soft skills needed for today’s fast-moving tech market. Our activities are inspired by the best of MBA-style learning but tailored for data professionals and enthusiasts at all stages of their careers.
Is there a growing need for such people in the data analysis job market?
Absolutely. There is a huge and growing shortage of people with these skills. Virtually everyone will soon need to master some form of data analysis or generative artificial intelligence tools, and there are not many people who are prepared for this, either professionally or through their approach to work. Brno is increasingly seen as a global computer science hub, especially in cybersecurity and related fields, so the need for data-savvy professionals is only going to increase.
Cooperation with the commercial sector is another pillar of the Lab. What does this bring to both sides?
Collaboration with industry is at the heart of the Digital Talent Lab. Companies benefit from access to top talent, internship opportunities, and the chance to pilot real data projects with expert guidance. Our partners don’t just support the Lab—they gain real value from working with our participants on live projects, often at a fraction of typical consultancy costs. For participants, it’s a chance to work on meaningful, real-world challenges and build connections that can shape their careers.
Can you share some examples of the kinds of projects participants work on?
Certainly! For example, one project involved analyzing the impact of new cycling infrastructure in New York City using complex movement data. Participants extracted relevant data, cleaned it, and produced convincing analyses and presentations—often rivaling the quality of graduate theses. Another group trained a neural network to connect sentiment in cinema reviews with demographic data, learning to manage large, messy datasets and apply advanced machine learning techniques. These hands-on projects help participants develop skills in deduction, inference, making connections, revealing cause and effect, and evaluating plausible conclusions—abilities that are highly valued in today’s labour market.
What is your vision for the future of the Digital Talent Lab and its impact on Brno and beyond?
Brno is fast becoming a global hub for computer science, cybersecurity, and AI. The Digital Talent Lab aims to attract the best minds from across Europe and beyond, meeting both regional and industry needs. If we can help even 20–25 talented new professionals each year to grow and contribute to Brno’s ecosystem, we’ll be making a real impact. But the demand is much higher—there’s room for hundreds.
Any final thoughts on the value of informal, experiential learning in today’s world?
We’re not just teaching theory. We’re helping people develop the habits of deduction, inference, and creative problem-solving that employers value most. The Lab’s unique blend of experiential learning, internships, and mentorship ensures that participants are ready to make an immediate difference in the workplace—and to keep learning for life.
Thank you for the interview and good luck with all the DIgital Talent Lab effort:-).
Zuzana Jayasundera
We proudly announce the launch of The Digital Talent Lab, a new initiative spearheaded by the team led by Professor Stan Sobolevsky. This innovative Lab aims to enhance Data Analysis, Machine Learning, and AI skills of interested candidates through hands-on projects with commercial partners in the free and online Datathon.
Digital Talent Lab offers informal, free, and practical training in data analytics, machine learning, and artificial intelligence. Everyone can learn by doing – through experiential learning in the Datathon, or corporate internships later.
