Monday 27 October 2026, 10:00–11:30
Online (link will be sent after registration)
Free
- #metropolia #haagahelia #AI #artificialintelligence #SMEs #AISkaalaajat #AIwebinar
The webinar “From regulation to scalable AI: risks, data maturity and a practical roadmap” will be held on Tuesday 27 October 2026 from 10:00 to 11:30. It will be organised as an online webinar from the Digistudio, with Erkki Räsänen and Patrik Asikainen as speakers.
You have data and interest in AI, but how do you move forward in practice? GDPR, the AI Act and the Cyber Resilience Act introduce new obligations whose impact on your own operations can be difficult to understand. At the same time, fragmented data, unclear responsibilities and insufficient documentation slow down development.
In the webinar, we will go through how EU regulation can be turned into practical governance measures, how a company can assess its own data maturity, and how to move towards controlled AI pilots. The programme also includes a quick self-assessment that serves as a starting point for a company workshop to be held later.
The event is intended for companies that are planning to use AI or want to develop their data management and regulatory readiness.
Preliminary programme
10:00–10:10 Opening and introduction to the topics – Patrik
10:10–10:30 Regulations – from requirements to an action plan – Erkki
10:30–10:50 Data maturity – where is your company now? – Patrik
10:50–11:00 Q&A – Patrik & Erkki
11:00–11:10 Introduction of the follow-up workshop
11:10–11:30 Closing remarks and open discussion
Puhujat

Principal Lecturer
Erkki Räsänen is a Principal Lecturer at Metropolia University of Applied Sciences, specialized in industrial digitalization. He has extensive experience in IoT, industrial automation, data analytics and Industry 4.0 solutions, as well as leading RDI projects. Erkki helps industrial and SME organizations build practical, data- and AI-driven solutions.

AIoT Project Specialist
Patrik Asikainen works as an AIoT Project Specialist and Project Manager of the AI Skaalaajat project at Metropolia University of Applied Sciences. He has a background in electrical and electronics engineering and experience in developing AI and IoT solutions for companies, especially in data management, cloud services and the practical implementation of scalable AI applications with SMEs.
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