Mälarenergi attends Data Innovation Summit 2020, Stockholm

Mälarenergi, one of the partners of FUDIPO project, will attend Data Innovation Summit 2020, which takes place in Stockholm (Sweden) on 19th March 2020.

Data Innovation Summit is the leading data and advanced analytics event in the Nordics, constructed so it equally addresses all the elements of data-driven and AI-ready business: data, people, processes, technology and provides a holistic insight to the entire spectre of the data-to- insight-to-action process from data collection to visualisation and automation. With over 120 Nordic and international speakers on six stages, six workshop stages and plenty of learning and networking activities in the exhibition area, the 2020 summit is the place to be for all professionals and organisations working with utilisation of data for increasing profit, reinventing business models, develop data-driven products, and increasing customer satisfaction.

Thus, Mälarenergi will share the experience and lessons learned within FUDIPO in one of the seminars dedicated to Industry 4.0 and IoT.

We will give more information soon! Stay tuned!

Our colleagues Elena Tomas-Aparicio (Mälarenergi), Christian Wallin (MDH) and Nathan Zimmerman (MDH) attends Data Innovation Summit 2019

The last 14-15th March our colleagues from MDH and Mälarenergi attended Data Innovation Summit 2019, in order to keep up with the latest technology in Applied Innovation, Analytics and Visualisation, Machine Learning, Artificial Intelligence, Data Management, Data engineering, and IOT insight. FUDIPO apply this innovative technology for the energy and resource efficiency in EU industries.

 

RISE-SICS presents a FUDIPO application at Ekmandagarna 2019

Our colleagues Tomas Olsson and Mats Tallfors from RISE-SICS presented an example of FUDIPO application to the paper industry at Ekmandagarna 2019 in Stockholm. Download the presentation in the following link and know more about deep learning developed in FUDIPO to improve the performance of paper industry processes (in Swedish):

http://www.svenskpapperstidning.se/shared/files/Hur_kan_AI_forbattra_vara_processer_Tallfors_och_Olsson_RISE.pdf