On March 7th, 2017, we held the first ever Nordic.AI Festival, a one-day event connecting the brightest minds in artificial intelligence in the beautiful city of Copenhagen to discuss how to design a smarter world to meet the challenges of tomorrow.
Through an inspiring and challenging one-day program, attendees gained first-hand insight into how the elite of international pioneers within artificial intelligence and machine learning work with AI in practice.
Stay tuned for our next event!
Venue opens - Registration
Host welcome by Nathan Benaich, nathan.ai
Azeem Azhar: The State of Artificial Intelligence
Keynote by Danny Lange, Head of ML, Unity Technology: AI in the Enterprise - Making Corporations Smart Again
ML at Mærsk Line Clemmensen: Machine learning examples at Mærsk
ML at General Electric/Wise.io Henrik Brink: How to build AI products
ML at Ericsson Jesse Chao: ML at Ericsson
Keynote by Rafal Lukawieck, head of Botticelli project, Microsoft (IRE) : "AI: past, present, but what is the future?"
Host re-opens event
Investor panel with Nathan Benaich & Azeem Azar & Bjarke Staun-Olsen (DK) & Hampus Jakobsson
Lightning Talk by Ole Winther from DTU Compute: AI from academia to industry
Lightning Talk by Christian Igel: Machine Learning for Science and Society - New biomarkers for disease diagnosis and prognosis
Lightning Talk by Kristinn Thorsisson from RU: Games to General Intelligence & Back: A Decade of AI in Iceland
Intro to startup talks by host
ML at Mapillary - Jan Erik Solem: "Buiding Global Street Scene Recognition with Crowdsourcing"
ML at Spotify Andreas Mattsson: ML@Spotify - Show me your mixtapes and I will soundtrack your life
ML at Klarna - Samare Jarf: "Machine Learning the Checkout"
ML at Blackwood7 - Michael Green: Introducing a Bayesian Artificial Intelligence Engine in the Media Agency Landscape
Break featuring Jens Madsen: From cognition to recommendation
Host re-opens the event
ML at Corti - Lars Maaløe: Machine Learning at Corti
ML at Movi.ai - Lars Erik Ravn: Movi - AI based video engin
ML at the Curious AI Company - Antti Rasmus: Unsupervised machine learning and beyond
ML at Lytics - Martin Rugfelt: Data driven personalized medicine
ML at iZettle - Andreas Meisingseth: ML at iZettle - a practical approach to ML using open-source and AWS
ML at Arundo Analytics - Ellie Dobsen: Towards Plato’s rig: Using IOT data to prevent equipment failure in asset heavy industries
Keynote by Sander Dielemann, Google Deepmind: Deep learning for music recommendation and generation
Closing by host
Poster Session with the latest in AI research + drinks and networking