Next to enabling new data-driven business models, data allows one to acquire new insights to optimise production processes, predict machine failure, profile product usage or set up data-oriented start-ups. However, having access to data and/or collecting it might not always be trivial, and one of the main obstacles to further advance in regard to data-driven innovation remains data sharing. On 30 May Sirris is organising a seminar aiming at showing the potential of data sharing to enhance industrial innovation.

When analysing sensor data, you are typically confronted with different challenges relating to data quality. Here, we show you how these challenges can be dealt with and how we derive some initial insight from cleaned data via exploration techniques such as clustering.

More and more companies are starting proactive or predictive maintenance projects and they are looking how to optimise their operations thanks to the enormous amount of data they collect. However, these companies mainly focus on the individual machine level, leaving a huge potential for fleet-based analytics untapped.

DEWI is a European research project which ended in February 2017 and has provided key solutions for seamless wireless connectivity and interoperability in smart cities and infrastructure by looking at members of the public's everyday physical environments in buildings, cars, trains, and planes. In this way, DEWI has provided significant input for the emergence of smart homes and smart public spaces.

By May 2018, the General Data Protection Regulation (GDPR) will have to be implemented by all companies collecting and processing personal data. This new legislation reinforces the data subject’s rights and privacy when it comes to the processing of his/her personal data. This will change how we innovate with data.

Despite what you might think, there are no quick, simple, off-the-shelf data solutions. Data science is a creative process involving a lot of trial and error tasks. Data Analytics goes beyond technical skills, human, business and research aspects must also be taken into account.

offshore windenergie, IoT, Big Data, Industrie 4.0, digitalisering, ICT

This session, which takes place on 20 April at Greenbridge Oostende, about digitalisation in the offshore wind energy sector will join players from the ICT industry - more specifically internet-of-things, IoT - and offshore energy players to reveal their mutual synergies. OWI-Lab and some project partners will also be present to contribute in function of the VIS-OWOME project.

Wind turbines can generate electricity even in the most extreme winter weather. At least if they are made resilient enough. Designers of motors and turbines can all rely on our extensive expertise to allow electricity generation even in extreme climates.