Erik is a world authority in the field of multidimensional information systems, an internationally recognized expert in the application of logic to information systems, and a well-known innovator in ontologically grounded approaches to AI and socio-economic-environmental (or ESG) applications. As CTO of Blender Logic, he designed a semantic controller that improves the performance of machine learning applications that was selected as an exemplar of advanced AI algorithms by the DoD's Joint Center for AI (JAIC). Recently, Blender Logic teamed with sciGaia, a Montana-based provider of sustainability services, in order to produce a new generation of wellbeing-based planning systems. He is the author of "OLAP Solutions: Building Multidimensional Information Systems," which is used around the world in both graduate computer science and MBA programs, and of publications for both scholarly and IT journals.
Erik Thomsen
How to Calculate Fair Company Carbon Targets for the Energy Sector
Walking the Talk / Fair carbon-reduction targets and the assessment of a company’s performance relative to targets are an incredibly powerful way to assess how well a company is performing. It also sends a clear risk message: The greater the difference between a company’s fair target and its actual performance, the greater its value at risk. - 4 months ago
Breaking Through the Logjam to Accelerate Decarbonization in the Energy Sector
Walking the Talk / Why have the collective efforts of national governments, NGOs, forward-looking companies and citizens had so little impact on curbing carbon emissions? Here are three reasons why high-level pledges are not translating into concrete actions — and what’s needed to break through. - 6 months ago
Fair Targets for ESG Performance: An Introduction
Finance & Investment / To transform ESG reporting from a feel-good marketing exercise into a forward-looking financial assessment of a corporation’s environmental, social and business risk and an ESG-risk-aware capital-budgeting strategy, ESG targets need to reflect non-market stakeholder needs at a local, regional and global level. We call these kinds of multi-tiered, multi-stakeholder targets ‘fair.’ - 7 months ago