After two successful editions, a third edition of the ‘Fleet-based analytics for data-driven operation and maintenance optimisation’ seminar is organised on 13 December. The seminar focuses on the challenges of optimising the operation and maintenance of a fleet of machines by means of data-driven analytics and hybrid modelling strategies.

Data science can be very valuable to innovate within several domains, also for SMEs. The EluciDATA mastercourse provides pragmatic and industry-oriented sessions on data-driven innovation. During a special interactive, hands-on session on 18 September, participants will be guided in identifying the potential of solving a particular business challenge in a data-driven way and specifying the data innovation opportunities for their particular business context.

In cold climates, icing events and long periods with extreme low temperatures may impact the behaviour of standard wind turbines and this reverberates negatively on economics and safety of the wind farm. The behaviour of wind turbines operating in cold climates is studied at an international level by the IEA Wind TCP Task 19, a group of experts, of which Sirris is the representative member for Belgium.

Nowadays, a wide variety of algorithms is available in different data analytics libraries and toolkits. Therefore, when it comes to choosing an algorithm, the question is not whether an algorithm exists to solve your problem, but rather which one best fits the data science problem you are trying to solve. The next session of the EluciDATA mastercourse on 26 April will focus on choosing the right algorithm for the right task.

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.