Caroline Mair

Data science can be very valuable to innovate within several domains, also for SMEs. The EluciDATA mastercourse provides pragmatic and industry-oriented sessions to data-driven innovation. The next session (second edition), with as its topic the art of formulating a data science task, will take place in Diepenbeek on 28 September.

Mathias Verbeke

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.

Caroline Mair

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.

Caroline Mair

Are you interested in getting more insights and in learning more about the creative process of characterising data in terms of features that can help you reach better results when you are applying a data mining or machine learning algorithm? This is your chance then, as Sirris will be organising a second edition of this training session.

Nicolás González-Deleito

The Sirris Data Innovation team participated in the European Congress on Innovation in Textiles for Healthcare, which brought together key players from both the textiles and healthcare sectors, in order to present and discuss how innovations in these sectors can help to improve quality of life. Sirris gave a presentation on the challenges related to turning data collected via wearables and other sensors present in a user's environment into actionable information.

Caroline Mair

Before proceeding with in-depth data analysis, you first need to ensure that the data you have available is suited for solving your business problem. Data exploration is a first step in the data science workflow. It helps you to find out if the data you have available is suited for the problem you want to study. Our training session on data exploration helps you on your way.

Mathias Verbeke

Feature engineering is the process of extracting and selecting relevant, informative and distinguishing characteristics from your data, which can subsequently be used as input for a machine learning algorithm. As the quality of your features largely influences the quality of the results, feature engineering is one of the keys to success in successfully applying machine learning. While it is typically a creative and work-intensive process, understanding the methodology, tricks of the trade and common pitfalls can help you go a long way.

Nicolás González-Deleito

Building a digital coaching platform to help overweight people with a high cardiovascular risk lose weight and acquire and maintain a healthier lifestyle: this was the goal of WITH-ME. Sirris's main contributions in this project were related to the extraction of relevant information from subjective and objective data.

Mathias Verbeke

In collaboration with the EluciDATA user group, a number of concrete industrial use cases have been identified in the domains 'entity profiling and recommendation' and 'predictive analytics and forecasting'. For each of these use cases, a starter kit is being developed, to illustrate the potential of data innovation for a specific use case, in this way allowing companies to start with data innovation at a faster pace. As an example, a starter kit focusing on 'resource demand forecasting' is now available.

Caroline Mair

The exploitation of data collected on a fleet of machines is a real asset for maintenance and service personnel and, at a larger scale, for an entire company. The Sirris Data Innovation team will present the opportunities and the challenges related to this topic during a seminar on 24 October.