In this webinar, we'll take a close look at how artificial intelligence changes the very core of how businesses are run, and how we optimize our clients’ operations. We will showcase our work based on two real-life client stories in the aviation and sawmill industries.
However, if you aren’t operating airports or don’t have any business in the woods - fear not! The experts facilitating this webinar will put their magic to work for you regardless of your business, scale or industry. Please find further session details below.
1.00 - 1.05 pm CET
1.05 - 1.30 pm CET
How do you operate an airport during peak traffic under extreme uncertainties, continuous exceptions, restricted resources and unpredictable weather? By calculating a plan for optimizing the airport and its resources. It may sound simple, but it requires some serious mathematics to work. Maria Pusa will share how she and her team managed to build an optimization model to calculate the optimal plan for plane airport parking out of 1 000 000 000 000 000 000 000 000 000 000 different combinations in just 30 seconds, and how that prevented flight delays, saved costs and improved customer satisfaction.
1.30 - 2.00 pm CET
Aappo Pulkkinen and Jere Heikkinen
For many fields in industrial production, it is of utmost importance that the use of raw material is optimized. When the cost of raw material is high, there also tends to be a significant potential for savings, but finding ways to make the best use of existing data to tackle the problem is often challenging. Aapo and Jere will share how we combined machine learning and mathematical optimization with state-of-the-art computer vision and imaging to enhance production chains and lower costs at sawmills.
PhD, Principal Data Science Consultant
Maria is driven by understanding and formulating business problems mathematically and finding new and creative ways to solve them.
I have a PhD in numerical mathematics and I am particularly interested in matrix computations, complex analysis and optimization theory. Before transitioning to the data science industry, I did a decade of nuclear safety research yielding high-impact computational methods in the simulation of nuclear reactors.
PhD, Lead Data Science Consultant
I operate in the data science world and I'm striving to utilize past experience to turn business problems into mathematical models and to solve them by using mathematics, optimization and/or machine learning. The world is currently seeing a beginning of what will be a big leap in productivity, caused by combining the current data assets with modelling techniques from machine learning and from operations research or simulation of dynamical systems, for instance.
Jere Heikkinen, 39, holds a M.Sc. in Applied Mathematics and is currently working on his D.Sc. thesis on inversion problems in the sawmill industry. He is the CEO and one of the co-founders of Finnos and was nominated as the young researcher-entrepreneur of Finland 2020. He has been in the development of X-ray log scanning systems for sawmill industry for the past 15 years.