We take productivity to the next level
SEED is the first business-driven open innovation marketplace that marries the Finnish forest and IT industries. We aim to develop Finnish forest industry competiveness by applying digitalization in a smart way.
Challenges we are solving
We focus on challenges and use-cases with real business value.
Forest industry companies open their real-life business challenges and mills. We invite IT and design companies along with research to develop new solutions based on those challenges.Read more
Way of working
We match our members’ resources and business interests with each other and top-notch research. Joint innovation takes place in real environment in pulp, paper and board mills. Challenges are solved using agile methods, by co-learning and co-doing.Explore our way of working
How participants benefit
There’s huge potential to be harvested in the digitalization of the Finnish forest industry. Our ecosystemic process creates a common language, new business and value – Winⁿ – for everyone involvedSee all benefits
See what’s new at SEED.
Open data for the development of machine learning applications in industry – The hidden goldmine?
We are facing the breakthrough of the data – it is so significant that I believe future historians will name the 21st century as the “era of data (and the world’s sixth extinction)”. My recent work on open data made me wonder if we are riding on the crest of a wave or standing between a chasm and a mountain.Read more
A well-designed industrial diary could provide an essential tool for intelligent technology
Antero Karvonen, Olli Kuusisto & Pertti Saariluoma
Knowledge is a logical requirement for autonomous and intelligent technology to perform their functions. In terms of current, especially brownfield, industrial processes this presents a problem, given that much of that knowledge is in the human domain; it is largely tacit (1.) and shared informally. As a continuation of earlier work on a ’Next-generation Diary (2.)’ , we argue that an intelligent industrial diary could act as a bridge and interface between machine and human intelligence.Read more
Evidence-based decision making in maintenance and asset management – several data sources at a glance
Evidence-based asset management approach can help in making better decisions, which rely on real data and expert knowledge instead of hunches. How to make the evidence available to the decision makers across the organization from the shop floor to the maintenance and production management?Read more