This is an example of a social graph where people interact with one another. In this particular case, the interaction is through the question. The politicians all have their experiences and skills, which were also modelled.
Smart meeting room
Presence and climate detection in meeting rooms with sensors to solve meeting rooms problems. Result? Less no-shows, awareness among meeting room users and more efficiency. Our partners are Beckhoff and Cumulocity.
Our trainings ensure that your employees or clients are brought up to speed on the latest evolutions on innovative technology and data solutions.
AI journey of the Flemish government
The Flemish administration is on a mission to digitalise and optimise the services of the government. A data-driven government is the ultimate goal.
An Artificial Intelligence scope in a government context will trigger innovative projects. Yet, there’s a gap between the government and AI. It’s time for the government to move and unlock the opportunities of this innovative technology.
A confidential project for the Government to support public officers with the detection of fraud in a business field where the government offers subsidies.
Analysing the news
Vectr.Consulting provides near real-time insights in dashboards, business intelligence and data visualisations.
I-Cleantech Flanders is a key player in the cleantech industry in Flanders. It strives to develop a partnership between companies, knowledge institutions, the government and civil society, promoting and effectively implementing innovation and clean technology.
As the catalyst for innovation in the cleantech field who knows, connects and spread cleantech, they need a structured and clear overview of all the actors promoting and implementing innovation and clean technology.
However, this is a challenging mission as there is no structured data of all the different actors. To fulfill this mission, Cleantech Flanders came to us.
How can we understand the ecosystem of cleantech companies?
How can we manage the growing amount of data and still deliver the same service to our clients?
Predict with sensor data
optimisation in logistics: In the Antwerp harbor, millions of containers are handled per year. They come and go by ship, rail, or road. Not surprisingly, some containers may get ‘lost’ for a while in the busy harbor area. It was our task to develop a concept that solves this problem and improves the logistics efficiency.
Our goal is to speed up the full process of electronic registration of handwritten terms. Can we build a model that accurately predicts handwritten medical terms, which should support the manual labour?