What we’re about
The Data Science Community:
Mission: We want to bring people together with a passion for machine learning, artificial intelligence and the use of data. We educate, inspire and empower scholars and professionals to apply data to address humanity’s grand challenges. At the Data Science Belgium community, we informally connect in a non competitive setting.
What we do:
• We are the fastest growing community of machine learning engineers & AI business leaders in Europe.
• We love doing Data4Good.
• We promote the value of analytics and organise events, hands-on sessions and trainings to close the gap between academics and business.
• Join us if you want to share, learn and have fun with analytical & technological innovation & positive social change.
• We have chapters in Brussels, Ghent, Hasselt, Leuven, Liège and Louvain-La-Neuve.
Members
Our members all want to contribute with their professional skills to make a positive impact on our local community or in the world. They are all aware that data based decision making is key to boost the performances of our organisations. We are an open community and everybody with an interest in data and business is welcome. Our members are University professors, managers in public or private organisations, leaders of NGO’s, Phd students, analytic consultants, technical data & cloud experts …
Activities
Our activities are geared around breaching that gap between what the industry need and what the academic institutions has to offer. We focus on knowledge sharing by organising monthly meetups and training sessions. We also provide the possibility for datascientists to work on real ‘Data for Good’-projects where our members offer their help to NGO’s, public intitutions and Startups to gain value out of their data .
Contact:
Philippe Van Impe – pvanimpe@gmail.com – +32 477 23 78 42
Sam Rédelé - sam.redele@gmail.com - +32 485585452
Quentin Laurent - quentin@qualiaworks.com - +32 472 974982
Who should join us ?
• machine learning engineers, data engineers, software engineers, business analysts, statisticians and hackers
• Business leaders and marketers who leverage data to compete and win
• Enterprise architects, IT, data warehousing, and business intelligence professionals
• Join us here
Communication Channels:
• We have a Newsletter that we send out to all our members, request it here
• Sign up for our meetings on www.meetup.com/Brussels-Data-Science-Meetup/
• Follow our community on Twitter: @DataScienceBe @DSGhent @DSLeuven
• Join our group now on Linkedin: http://goo.gl/UtLRdH
• Check out the job postings on our Linkedin group: http://goo.gl/jJMYQP
• Follow Google+ community: http://goo.gl/ySWvhj
• And we have a facebook page ! https://www.facebook.com/Datasciencebe
Upcoming events (1)
See all- AI Belgium community - Agentic AI Applications with Graphs & Open-Weight ModelsCommons Hub Brussels, Brussels
We're excited to announce our upcoming AI Belgium community meetup featuring two great speakers who will dive deep into cutting-edge AI topics to help you stay up-to-date and drive technology choices for your Artificial Intelligence applications.
Thank you to Neo4J for sponsoring this meetup and the Commons hub for hosting us.
Sponsors allow us to make the meetups free: we are an open non profit tech community, openly sharing experiences from both an industry and/or an academic perspective. This meetup’s sponsor is Neo4J, the graph database and analytics company. Thank you to the Commons hub as well for hosting this event.AGENDA
6:00 PM: Opening
6:30 PM: Tech talks (more information below)
8:00 PM: Informal networking drink with pizza (thanks Neo4J!)
1. Sofie Van Landeghem - Inside the Black Box: What Open-Weight LLMs Today Can (and Can't) Do
As open-weight large language models continue to close the gap with proprietary APIs, developers and researchers face a new landscape of possibilities and trade-offs. This talk explores the current capabilities of open models, highlighting the strengths and weaknesses of the most popular model families. We'll focus in particular on how to navigate this landscape when developing production-ready NLP applications.
2. Tomaz Bratanic - Beyond Vector Search: How GraphRAG Transforms Information Retrieval
Retrieval-Augmented Generation (RAG) is a widely used technique for grounding LLM outputs in external knowledge. However, standard RAG approaches often struggle with complex information needs, especially when relationships, entities, or broader context matter. GraphRAG extends vanilla RAG by incorporating knowledge graphs to structure the context data used during retrieval. This talk introduces the core concepts behind GraphRAG: how knowledge graphs can represent and organize retrieved information, how they complement vector similarity search, and how they enable more targeted, explainable, and complete retrieval.Meetups are free, but we need registration for practical reasons. If you cannot attend despite registration please do change your RSVP to No as soon as possible. This enables others to take your place (we usually have a waiting list due to a max location capacity) and it prevents us from ordering more pizza and beers than needed.
We are always in search for speakers who are willing to openly share their experiences (algorithms, best practices on ML Ops, open code, research, etc) with the AI tech community. We also search a host per meetup, providing some drinks and small food (e.g. pizza with some self-service beers) for the informal after drink. Hosting a meetup has no other costs; so no sponsor budget is requested.
For info as speaker or host please get in touch with the chapter organisers: Quentin Laurent and Bernard Cornet
