Sept 8th 18:00 – Start of Data Science Antwerp

  • Prof David Martens, Vincent Van Look & Michaël Peeters are initiating this new meetup location for the data science community at the University of Antwerp.
    Bart De Wever will do the opening speech.Agenda :18.00 – 18.15  Introductie van Antwerp DSC18.15 – 18.45  Bart De Wever (mayor Antwerpen)

    18.45 – 19.15  TextGain: Real-time text mining applications: finding customers, cyberbullies and jihadist  by Guy De Pauw, Tom De Smedt and Walter Daelemans

    19.15 – 19.45  City of Things: Data Science with Internet of Things Data by Philip Leroux

    19.45 – 20.15  Telenet: Deriving insights for improved viewing experience through audience analytics by Kurt Vanmechelen

    20.15- 23.00   Networking

    Register her for this meetup:

    Each month we organize a Meetup in Brussels focused on a specific DataScience topic.

     

Next Executive Session: What about a debate on Big Data & Ethics ?

Pierre Nicolas Schwab -EBU_Big_Data

 

Next Executive Sessions :

After the interesting talk of Stephen Brobst CTO#4 we now want to organise a debate on Big Data & Ethics. Pierre-Nicolas is proposing the following format: Short presentations by each participant representing the vision of his/her company followed by a debate. Any suggestions ? Who wants to participate ?

 

Philippe, Puis-je te proposer que tu organises un atelier de travail avec une dizaine de responsables Big Data sur l’éthique et le Big Data ? 
Il faudrait limiter l’audience à des décisionnaires Big Data qui puissent vraiment représenter le point de vue de leur société.
En termes de structuration :
 – 10-15 min (TED format) de présentation de chaque société sur les enjeux éthiques, sur la manière dont les algorithms sont conçus pour tenir compte de ces aspects éthiques, sur les enjeux et limites du Big Data, ce que les entreprises s’interdisent de faire en termes de collecte de données (la “ligne rouge” à ne pas dépasser)
 – un atelier d’échanges / débat

 


Here is some inspiration on the topic.

The RTBF’s big data expert Pierre Nicolas Schwab reflects on how to develop algorithms for PSM which match their values and mitigate the potential flaws of artificial intelligence. He invites EBU Big Data Initiative participants to join the RTBF workshop addressing this issue this December in Brussels.

“Most large companies are investing massively in Big Data technologies to leverage the value of their data. While many still consider Big Data as an inescapable business trend, concerns are growing regarding the impact of Big Data on our daily lives.

A ‘man vs machine’ Artificial Intelligence (AI) milestone was reached in March this year when the deep-learning algorithm AlphaGo defeated one of the world’s best players at Go, Lee Sedol. In an article I published before the game, I was wondering how advances in AI were changing our lives. Cathy O’Neil, a Harvard PhD mathematician, expressed similar concerns at the USI conference in Paris in early June and will be releasing her book “Weapons of Math Destructions” in September. This book elaborates on the concerns she has expressed on her blog about ill-based decisions triggered by algorithms and how big data “increases inequality and threatens democracy”. The title may be provocative but promises to go beyond the filter bubble effect made popular by Eli Pariser.

Because algorithms are only as good as those who build them, we need to open up the models, and not only the data. Those models need to be subject to criticism, peer-review and third-party scrutiny. This will avoid the use of biased or even dangerous algorithms (e.g. the French universities selection algorithm scandal revealed earlier this month) and will increase people’s trust in organizations which use algorithms. To illustrate the latter, the French fiscal authorities are now forced to render public the criteria that play a role when submitting a tax payer to a control. This exemplifies that a change is ongoing and, as PSM, we must embrace and support it.

Not only must we avoid replicating flawed models (in particular recommendation algorithms that trap users in “filter bubbles”) but we, as public organizations, have duties towards our democratic societies and their citizens. That’s why we need to (1) engage in a global reflection on how our algorithms need to be shaped to reflect our values and (2) pave the way for better practices that will inspire other organizations in different industries.

 

Hackathon – Aug 30-31 – Consumer Goods

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Dear Data Science Community members,

Hope you are ALL doing great! With this message, we are pleased to inform you of the upcoming Consumer Goods Hackathon, which will take place on Aug 30th– 31st in our innovation campus in Strombeek-Bever.

Together with several other large non-competing companies, we are organizing a 2 day digital disruption hackathon for consumer goods. Deloitte is leading and currently AB-Inbev, ING, Eggsplore, bpost and P&G are joining from large companies. Other companies are still considering to join.

The large companies will share their challenges in 1.digital disruption on business models and approaches, 2. production processes and 3. packaging. Start-ups/SME’s will share and collaborate (in teams) on novel disruptive solutions. If desired, the larger companies can work own projects with interested start-ups /SME’s after the event. 2D sketching, 3D printing and film/animation support will be provided on site for the teams to build their proposition.

Participation to the event is free of charge. This is the website with further details, with the specific business challenges for each of the 3 topics and for registration: consumergoodshackathon .

For practical reasons, it’s required that participants register individually and specify which challenge they would like to work on. (click challenges to see the full list).

It would be great if you could spread the word and pass on the website address to specific start-ups in your network which you find relevant for the defined spaces.

Let me know if you have further questions or want to talk this with the broader team.

Thanks in advance and looking forward to your feedback.

Best regards.

Benjamin Bollot @P&G

Job – Base 3 – Business Intelligence Consultant / Data Analytics / ETL / DWH

Base_3_Systems_1190575396_63

Hello Philippe,

at Base 3 we’re on a course for growth and looking for people to be a part of it. We’re hiring 12 people in Data Analytics. Mostly around Microsoft technologies (SSIS,SSAS,SSRS,…) and SAS. But we’re open to other technologies too. Diversity is important to us as is personal attention.
So a job description can be found on https://www.ictjob.be/nl/vacature/base-3-business-intelligence-consultant-data-analytics-etl-dwh/1-78127.
I’m off course open to explain more in a first conversation.

Thanks,
Steve


Base 3 – Business Intelligence Consultant / Data Analytics / ETL / DWH

We are growing our business and looking to hire 12 data inspired professionals.

What makes a great Base 3 Consultant?

Our consultants produce business value for our clients through the use of business intelligence, advanced analytics or big data techniques.

What makes them great is that they have a real passion for data that works infectious on the people around them. They’re strong communicators and work together with our clients sharing knowledge and ideas along the way.

What does a Consultant do?

There is a huge diversity in the type of roles and projects our consultants work on. Always assessing and adapting to the need of the customer.

A grasp out of the different things you could do throughout the day

  • Interpret data, analyze results and provide ongoing reports and clear visualizations.
  • Develop and implement data collection systems and other strategies that optimize data-driven decisions.
  • Acquire data from primary or Secondary data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems.
  • Work closely with management to prioritize business and information needs.
  • Locate and define new improvement opportunities.

 

What does Base 3 have to offer?

Besides the possibility to work on fantastic projects for great customers, we offer

  • A competitive salary with great benefits including a company car, group and health insurance.
  • 32 days holiday.
  • The possibility to build your skills and expertise.
  • A company that values long-term relationships with staff, customers and partners. Relationships based on honest collaboration, mutual trust and respect.

Feel free to contact us if you’d like to know more about our company, culture, colleagues,…

The Company

Founded in 1996, Base 3 has 20 years of experience in the data analytics market in Belgium.

Our consultants have a passion for data. They collaborate with our customers to improve their data-driven decisions. To produce business value, they use business intelligence, advanced analytics or big data techniques. Through their expertise and talent, they produce premium deliverables.

Our customers are our biggest source of inspiration. Their data-related questions and assignments are the challenges that excite our consultants.

When passion meets purpose ….

Our Values

Our long-term relationships with staff, customers and partners are based upon honest collaboration, mutual trust and respect.

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

For further information or to apply for this vacancy, please contact Steven Boen and include your CV.