Industry digitalization experience was shared by eight countries in Berlin. On 18-19 November 2019 the seminar „Industry digitalization – the Baltic Sea Region experience“ was organised in the Embassy of Estonia in Berlin, Germany, by DIGINNO project which is co-funded by EU Interreg BSR program. The event was jointly organised by the Estonian Association of Information Technology and Telecommunication (ITL) and Aalborg University Copenhagen in cooperation with the Federal Ministry of Economic Affairs and Energy. The aim of the policy seminar was to share views and experience across the Baltic Sea Region (BSR) regarding approaches and policy initiatives within the digitalization of industria
Maersk is a shipping company responsible for 18% of the container trade in the world. The Challenge Transporting refrigerated goods across continents by sea is always problematic. There are challenges with changing temperatures and humidity, O2 in a refrigerated container as the ship crosses into a different climate. As a result, ship personnel had to make the routine inspections of the contents of the refrigerated cargo to ensure that the temperature and the humidity were at the right levels. This was tedious work for the personnel and in some cases, the damage was spotted late. Another challenge was the fact that the client had no idea about the transit process of the goods hence there was
A Business Needs Assessment, a study as part of the DIGINNO project, has taken the temperature on diffusion and knowledge of IT in SMEs in the Baltic Sea Region. The study shows a reasonably advanced and quite uniform status. Through interviews and questionnaires directed to SME’s within different sectors of industry, the study has analyzed the current uptake of several digital technologies in SMEs and their planned uptake in a five-year perspective. Currently, there is widespread use of automation, databases; wireless, security/encryption, cloud computing, data visualization, sensors and virtual simulation. Other digital technologies as robotics, big data; AI/machine learning, augmented rea