Caroline Mair

Few technologies capture the imagination as much as artificial intelligence. Being able to adjust the present or predict the future based on data: which entrepreneur does not want this? Especially in industrial environments, data is considered the new gold. You work not only with data from people, but also from machines. The latter can be adjusted with new insights, in order to optimise the processes. Sounds good in theory, but where to start?

Caroline Mair

Is there business potential in your data? Is your data innovation idea feasible? Can AI help you solve a specific business challenge? And which technology is most suitable to tackle your business challenges? Our experts in data innovation and AI will help you to answer all these questions!

Anna Hristoskova
Nicolás González-Deleito

Recent developments in distributed AI on the edge result in new approaches to secure & targeted distributed analytics. Within Sirris, in the scope of several research projects, we are exploring energy- and resource-efficient scaling of AI-based applications among the existing edge infrastructure, while preserving privacy-sensitive data.

Marie-France Rousseau

Innovation through diversity, it is more than just a noble cause at Sirris. In this context we want to draw your attention to less known facts and figures in a series of blog posts.

Mathias Verbeke

Thanks to the advances of the Internet-of-Things, companies can continuously record data and monitor their (fleet of) assets in real-time. When used properly, this valuable data can help benchmark the performance of those assets, making it possible to determine if and why certain assets are underperforming.

Mathias Verbeke

Nowadays, a wide variety of algorithms is available in different data analytics libraries or toolkits for data analytics. The question is therefore not whether an algorithm exists to solve your problem, but rather which one is the right fit for the job. Learn how to choose the correct algorithm for a specific task in our new two-session webinar on 18 and 21 May.

Mathias Verbeke

Feature engineering is arguably the most important step in the data science workflow. This is why our upcoming webinar 'The Art of Feature Engineering' is fully dedicated to the topic. Over two online sessions, you will learn how to apply common methods and best practices, avoid pitfalls and use feature engineering to successfully fuel machine learning and data mining algorithms.

Mathias Verbeke

In a world with shorter attention spans and greater information overload, data visualisation can work wonders for breaking through the noise. In our new webinar ‘The power of data visualisation’, you will learn the fundamentals of data visualisation and the science behind it, and how to apply it to your real-world analyses.

Michiel Dhont
Elena Tsiporkova
Tom Tourwé

This is the fifth article in a series of blogs on the traffic situation in Brussels in times of COVID-19 restrictions. It is inspired by a recent quote by virologist Steven Van Gucht on people getting around more often again, and the effect this would have on the number of COVID-19 infections.

Mathias Verbeke
Tom Tourwé

The Sirris Data and AI Competence Lab (EluciDATA Lab) is relaunching its mastercourse on 'Data Innovation'. In a series of pragmatic and industry-specific sessions and webinars, different aspects which enable data-driven innovation will be explored. We will kick things off with the webinar 'The importance of data exploration and hypothesis building' on 9 and 12 February.