Dag Sletmo - 'Analysing the future'

With the FAO having predicted that we would need to increase sustainable aquaculture production by at least 75% by 2040 to limit global warming to 1.5°C, Dag shared his top-down financial perspective on the significant growth required in aquaculture production. He discussed the demand drivers that were in place, the challenges of increasing supply while reducing the environmental footprint, the need for new technology, better farming practices, and improved regulations.

As an industry heavily dependent on government regulations, achieving these goals also required a strong social license. And where would the necessary financing come from? While DNB Bank’s aquaculture activities were highly focused on salmon, Dag also addressed aquaculture more generally.

Dag Sletmo is a Senior Vice President in the seafood division at DNB, the leading bank in Norway and the largest globally in salmon farming, with clients in Norway, the Faroe Islands, Iceland, Scotland, Canada, Chile, and Australia.
Prior to joining DNB, Dag worked with Cermaq, a global salmon farmer, and ABG Sundal Collier, a Nordic investment bank. He holds an MBA from Columbia Business School in New York and has studied economics and philosophy at NHH and UiB in Bergen.

Download Dag's presentation slide here.

Signe Riemer-Sørensen - 'AI with knowledge'

Large language models had democratized AI, with co-pilots and chatbots making significant changes in office jobs. However, these technologies alone weren't expected to revolutionize aquaculture. For that, entirely different types of AI were needed. Signe provided examples from both aquaculture and beyond, explaining the challenges, offering intuitive insights into AI, and introducing the latest developments in industrial AI and its potential applications in aquaculture.

Signe Riemer-Sørensen is a Senior Researcher and Research Manager for Analytics and AI at SINTEF. Her research focuses on overcoming challenges in implementing machine learning and AI across various industrial settings where data can be sparse and noisy. Her solutions involve integrating domain knowledge into AI, creating robust, explainable, and trustworthy hybrid AI models.

Download Signes's presentation slide here.