Solution Seeker
Bjørn-Erik Dale has a diverse work experience spanning various roles and companies. Bjørn-Erik is currently serving as the Chairman of the Board of Directors at InformatiQ AS since July 2019. Previously, they co-founded Solution Seeker in February 2013. Bjørn-Erik has also held positions such as Affiliate Director and Managing Director at Arkwright Consulting, a European corporate development firm, from May 2012 to July 2017. Additionally, they are the owner of Dale Capital since January 2010. Bjørn-Erik Dale has served in advisory and board member roles in different organizations, including Energy Valley, Salmon Evolution AS, Wattif EV, K Smart Farming Co., Ltd., Eelume AS, and Nico Drilling AS. Overall, they bring a wealth of experience and expertise in various sectors to their professional endeavors.
Bjørn-Erik Dale's education history begins in 2001 when they attended The Cavalry's Sergeant Training School (Befalskolen for Kavaleriet) in the Norwegian Armed Forces. Bjørn-Erik completed a sergeant training course with a focus on intelligence and reconnaissance in 2002.
From 2002 to 2008, they pursued a Master's degree in Technology at the Norwegian University of Science and Technology (NTNU). Their field of study during this time was industrial economics and technology management.
In 2010, Bjørn-Erik Dale enrolled in the Executive Management Program at Northwestern University's Kellogg School of Management. This program specialized in strategic M&A (mergers and acquisitions) and JVs (joint ventures).
In 2017, they briefly attended Stanford University, focusing on machine learning. Although the information does not specify whether they obtained a degree, it appears that they engaged in studies related to this field during that time.
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Solution Seeker
Solution Seeker creates decision-support tools for optimizing petroleum output. Their decision support tool makes use of AI's predictive capabilities to continuously update its estimation and prediction models, allowing a continuous search with its patented optimization algorithm and capturing and calculating the uncertainties through the AIpipeline from raw data, estimates, to predictions, allowing petroleum companies to take advantage of the model's upside potential while managing downside risk with their tracking and stop-loss function.