Artificial intelligence and data analysis

The opportunities of AI and data analytics are within your reach!

At Jamk, we apply open-source artificial intelligence and data analytics technologies to real-world business challenges and other interesting assignments.

Practical AI and data solutions for businesses

We help companies leverage artificial intelligence, machine learning, and data analytics to solve real business challenges. Our work combines research and hands-on development based on the actual needs of organisations.

Projects

Our research, development, and innovation projects enable the exploration and piloting of new AI- and data-driven solutions for businesses, society, and industry.

AI-Boost

Implementation time: 1.9.2025 - 31.8.2027

Unit: School of Technology

Financing program: European Regional Development Fund (ERDF) 2021-2027

Leveraging data in subcontracting networks

Implementation time: 1.10.2025 - 31.12.2027

Unit: School of Technology

Financing program: European Regional Development Fund (ERDF) 2021-2027

Resilmesh: Situation Aware Enabled Cyber Resilience for Dispersed, Heterogenous Cyber Systems

Implementation time: 1.10.2023 - 30.11.2026

Unit: School of Technology

Financing program: Horizon Europe

AI related publications in Jamk Arena

Our experts publish articles on research, development, and current impactful phenomena in their fields through Jamk Arena.

When the classroom turns virtual: Teacher students practising challenging interactions with an AI-driven simulated student

Qwen-VL VLMs for zero- and few-shot object detection

A new framework for utilising participatory methods

Solutions for utilizing AI and data   

Would you like to improve your company's operations with data-driven solutions, make better use of your data, or explore how AI could create more business value? Contact us to discuss collaboration opportunities.

Contact us!

Mika Rantonen

Principal Lecturer
Institute of Information Technology
School of Technology
+358407167269

Networks we are part of

Big Data Value Association
Data Spaces Alliance Finland

Additional resources

Master's Degree

Artificial Intelligence and Data Analytics, Master of Engineering

Application period:

7.1.2026 - 21.1.2026

Study mode: Part-time studies

Education starts: 28.8.2026

Deep learning

Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data.

Machine learning

Machine learning is a subset of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience/data without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.