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Description
Detailed and regularly updated international trade data is a rich source to detect new rapidly growing new markets and overall dynamism in global markets. The project aims to integrate the latest achievements in economic research and machine learning to automate a significant part of the usual technical work that is needed for informing industrial strategies in to Industrial Competitive Atlas. The solution allows for a speedier and qualitatively significantly thorough industrial analysis, and by connecting the relevant theories, regularly updated open and big data analytics, machine learning and data visualisation. Cooperation with Norwegian economists, machine learning developers, industrial and cluster organisations and financial institutions, contributes ultimately the strengthening of the competitiveness of Estonian and Norwegian industries.
For this a detailed Business Model Canvas shall be compiled with a Technological Feasibility Study, and strategic co-operation with the Norwegian stakeholders shall be initiated.
Summary of project results
Project activities completed. Project promoter did not participate in the main call.