Elin has built bridges between data-fuelled technologies and business value for more than 20 years. Through her collaborations with business leaders and tech entrepreneurs, she has developed an exceptional ability to connect business strategy with the application of data-driven technologies, including artificial intelligence. She brings novel perspectives to familiar challenges,... Read more
Elin has built bridges between data-fuelled technologies and business value for more than 20 years. Through her collaborations with business leaders and tech entrepreneurs, she has developed an exceptional ability to connect business strategy with the application of data-driven technologies, including artificial intelligence. She brings novel perspectives to familiar challenges, persistently demystifying jargon and buzzwords, and consistently remains ahead of the curve with her insights into societal implications, sustainability, regulation, security, and geopolitics.
Elin approaches AI with a humorous, down-to-earth, and pragmatic mindset, focusing on what is feasible now, what is responsible in both corporate and societal contexts, and what leaders need to understand about data and algorithms to make informed decisions. She then adopts a futurist perspective, looking ahead to potential scenarios and future outcomes, challenging established beliefs and viewpoints.
Elin systematically incorporates the human perspective, emphasizing that “it is up to us – the humans – to design the future of technology to be human-more, not human-less.” In her talks, she provides tangible and well-grounded recommendations on how to derive real benefits from data-driven technologies, mitigate risks, comply with regulations, and consolidate and leverage data as a valuable business asset.
Elin Hauge holds an MEng in Biophysics and Medical Technology from the Norwegian University of Science and Technology and an MSc in Management Science and Operational Research from Warwick Business School. Recently, she has also commenced law studies to further enhance her ability to connect responsible and accountable business practices with regulatory frameworks. Her strong academic foundation in mathematics and physics, combined with extensive business experience, provides a solid basis for her perspectives on the revolutionary opportunities and complex challenges associated with artificial intelligence and other data-driven technologies.
She holds several non-executive board positions, serving as chair for the majority of these companies.