The important role of Data Science in our current time

Unilever, a renowned global consumer goods company, is constantly innovating its food products to stay in sync with evolving factors. However, Unilever faces a significant hurdle.

In collaboration with SME Datalab, Safety Region Brabant North implemented Retrieval Augmented Generation (RAG) to swiftly gather factual data from public documents. This initiative reduced the time-intensive nature of risk analysis and minimized the risk of using incorrect information or leaking sensitive data.

Minkels, a division of Legrand, took proactive steps to support their growth ambitions by gaining in-depth insights into the configurations of sold server cabinets.

Exsell partnered with JADS in the Causal Inference course, presenting a real-world dataset challenge to students, to see what they did with it. The dataset was aimed at testing students' ability to build models and derive meaningful insights from the data

For her Master thesis Nadine Beks focused on using machine learning to improve letters from government sources like city councils and tax offices. She created and tested different models and found the GPT model was the most effective in making letters easier to understand.

Stichting Yvya, together with EarlyWarningScan bv, is working with JADS to develop a new method of breast cancer screening that can also be used with young women, as opposed to mammography where screening is only possible for women after menopause.

MTD's ambition is to develop a dynamic pricing model that calculates an optimal price based on event characteristics and MTD's expected available capacity on a given date. This will allow a more accurate response to predicted supply and demand during pricing discussions with clients.

MEG's ambition was to speed up the sales process (customer request to final quote) by making their extensive product inventory more organized and transparent. The sales process could take up to 2 weeks due to the size and product preferences of the request, whereas MEG would like to give the customer a relevant offer right away.

DAS had a clear ambition to bring their historical dataset of 400,000+ legal documents up to date with a newly instituted coding scheme.

Aquacare wanted to make optimal use of the data stored in a central operational system.

Monkey Moves' goal was to gain more insight into the customer journey of their customers, conversion rates and thus the costs and benefits of the advertising channels used.

Our Data-driven Service Innovation (DDSI) course challenged a class of motivated JADS students to assess and improve the current service offerings and business model of our industry partner, Datacation, using the knowledge they learned in class.