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.

     

Job – Predicube – Senior Data Scientist

predicube

Senior Data Scientist

Experience: 3+ years of experience
Employment Type: Full-Time
Description:
We are looking for a senior data scientist to expand our growing team. You will be working on your dedicated project related to cross-channel advertising. We offer a dynamic job on the 19th floor of the KBC tower in Antwerp, with possibility to be included in the employees’ stock option program.

If you have good data science skills, a passion for new challenges and knowledge of big data technology, you are our man or woman!
Desired Skills and Expertise:
Expertise

  • Data science and predictive modeling
  • Computer Sience, Physics or Mathematics background

Technology

  • Python, Linux
  • Knowledge about Amazon Web Services (Elastic MapReduce, Spark, etc.) is a definite plus.
  • Ethical reflex concerning privacy-friendly analytics

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 .

Interested? The original job posting is available at this link: http://www.predicube.com/solutions.html#section6

More Jobs ?

hidden-jobs1

Click here for more Data related job offers.
Join our community on linkedin and attend our meetups.
Follow our twitter account: @datajobsbe

Improve your skills:

Why don’t you join one of our  #datascience trainings in order to sharpen your skills.

Special rates apply if you are a job seeker.

Check out the full agenda here.

Video channel and e-learning:

Follow the link to subscribe to our video channel.

Join the experts at our Meetups:

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

Brussels Data Science Meetup

Brussels, BE
1,548 Business & Data Science pro’s

The Brussels Data Science Community:Mission:  Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand cha…

Next Meetup

How can #datascience help fight earth warming? + New Years D…

Thursday, Jan 21, 2016, 6:30 PM
34 Attending

Check out this Meetup Group →

Internship – PrediCube – text mining, topic modeling and segmentation

predicube

Internship at PrediCube

Experience: Intern Level
Job Function: Information Technology
Employment Type: One to three months

Description:
We are looking for an enthusiast intern who is interested in learning about text mining, topic modeling and segmentation for a growing and exciting startup. We offer a dynamic experience on the 19th floor of the KBC tower in Antwerp.

If you have good technical skills and you are interested in working on a system that analyzes 1 billion records on a daily basis to build dozens of predictive models, you are our man or woman!
Desired Skills:
Technology: Linux, Python, data science
Affection for data & numbers
Ethical reflex concerning privacy-friendly analytics

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 .

To learn more, please contact careers@predicube.com

 

Follow our courses to boost your datascience skills ?

The European Data Innovation Hub organizes trainings and hands-on workshops about bigdata and datascience.

Here is the agenda:

Data Innovation Training Hub

Brussels, BE
103 Fast learners

This group is an initiative from the nonprofit European Data Innovation Hub, the premier networking space where business, startup, academic and political decision makers share…

Next Meetup

Day 3: Coached Mooc – Introduction to Big Data with Apache S…

Tuesday, Jun 16, 2015, 7:00 PM
21 Attending

Check out this Meetup Group →

Data Innovation Summit – Datascience made in Belgium

333

Statistics about  the Summit (5/3/2015):

  • 12 hour Live streaming of the Summit
  • 6 cameras, 3 camera teams
  • 7 journalists
  • 59 Speakers,
  • 1 Deputy Prime Minister
  • 1 Rector
  • 22 CEO
  • 10 Professors
  • 15 Start-ups
  • 333 Participants
  • 22 sponsors
  • 1 time keeper
  • main exhibition area
  • vast networking area
  • 1 VIP area
  • 6 main tracks

Agenda:

  1. The Data Innovation Ecosystem
  2. The Enterprise Business Cases
  3. The Innovation Facilitators
  4. The University Challenge
  5. The Startup Sessions
  6. The Open Ignite Sessions

Confirmed speakers:

Kris Peeters | Vincent Blondel |   Philippe Van Impe |Hans Constandt | Toon Vanagt | Damien Bourgeois | Steven Noels | Elena Tsiporkova | Geert Verstraeten | Jan Sonck | Els Descheemaeker | Steven Beeckman | Laurent Fayet | Julie Coyette | Guillaume Gorge | Rik Van Bruggen | Wim Van Leuven | Jonathan Duplicy | Dries Benoit | Erik Mannens |Roald Sieberath | Thibaut Claes | Bart Hamers | Wannes Meert | Dieter Devlaminck | Andrea Dal Pozzolo | David Martens | Daniele Marinazzo | Renaud Lambiotte | Daniel Berckmans | Omar Mohout | Filip Maertens | Kristof Mertens | Mark Turcksin | Daan Gerits | Wannes Rosiers | Eric Charles | Katya Vladislavleva | Erik Laurijssen | Mehdi El Fadil | Kris Peeters | Henk De Metsenaere | Jonas Tundo | Istvan Hajnal | Eric Lecoutre |  Cain Ransbottyn | Sebastien Leempoel | Sam Rédelé | Antoon Dierick | Zbigniew ‘Zibi’ Paszkiewicz | Jochen François | Matthias Vallaey | Tijmen Weddepohl | Frank Vanden Berghen | Ferdinand Casier |

Companies presenting:

Axa euroclear_0 Agoria

sas-logo Keyrus

abl artsen zonder grenzen AXA Belga datainnovation Essent  proximus PwC_fl_c Sign2pay  startups.be swan insight yazzoom Agoria ARHS-Data Arrow-Group2 Bigdata.be Big-Industries-stamp-logo Business Insight Colruyt_logo  datalayer Dataminded_Logo_transparant_96px_0 datylon Deloitte-logo DLA Piper esperity Essent_Logo_NL  evolved-analytics finaxys Graph  iMinds_logo_CMYK Infofarm Informatica-logo Innoviris KBC Startit logo_businessdecision  Logo_Vlaanderen logo-sirris mathworks  microsoft microstrategy Neo4j 1 NG-DATA-logo ontoforce opinum 1 opinum pépite porphyrio predicube proximus_icon Python Predictions sentiance StartUps.be tangent works tribalytics-logo

 

More info:

Startup Launch – Predicube – MORE EFFECTIVE ONLINE ADVERTIZING

logo

 

 

  • Stop sending all your money to facebook and google, spend it more wisely and get far better results from a Belgian #datascience startup offering a more secure and safer solution for Online advertising.
  • Invest in more effective targeted online advertising while respecting consumers’ privacy concerns

 

 David Martens  crowdPhilippe Degueldre Prof. Foster Provost    Book-cover

Nice crowd yesterday for the on  the top floor of the  Boerentoren (KBCstartit) for the Launch of Predicube, a startup founded by David Martens.

We had 3 presentations:

  • Welcome and introduction by David Martens
  • Philippe Degueldre, director business intelligence at Pebble Media
  • Prof. Foster Provost, Professor at NYU’s SternBusiness School and Co-founder of several big data companies

70% of every euro that is redirected from print to online advertising currently floats out of the local economy

 

Online advertising is big business, but spamming consumers with random ads has proven not to be the best way to optimize advertising returns: people only click on ads that are relevant to them. Hence, media companies and advertisers have been exploring targeted advertising strategies to boost online ads’ click-through rates (and revenues) based on an analysis of people’s Internet surfing patterns. An approach that conflicts with consumers’ stringent privacy concerns?

Not anymore, thanks to Belgian tech starter PrediCube – a spin-off from digital research center iMinds and University of Antwerp, and supported by the Start it @KBC incubator. PrediCube uses big data analytics to make sure consumers get to see those ads that are truly of interest to them, thereby increasing click-through rates up to 300%, while putting its unique ‘privacy by design’ strategy center stage.

Analyzing and predicting consumers’ online behavior to increase click-through rates up to 300%

Online adverteren is big business. Online advertising is big business. In Europe alone, online ad spending topped €27 Billion in 2013 (a YoY increase of 11,9%). Yet, while this big market potential offers a great deal of opportunities, the shift to online advertising also comes with a number of important concerns. The authors of the book Het nieuwe TV-kijken1 found, for instance, that 70% of every euro that is redirected from print to online advertising currently floats out of the local economy – right into the hands of a few big international players such as Google and Facebook.

Trying to counter that drain of resources and valuable consumer data, PrediCube now brings to market a solution that can be used by local media advertising companies to predict consumers’ interest in specific ads – based on an analysis of their online behavior. Result: targeted online advertising campaigns that are much more efficient and generate higher revenues.

“Using PrediCube, we have been able to increase targeted online ads’ click-through rates up to 300%. In other words, we are now able to match ads with the right consumer profiles up to 3 times more accurately. Moreover, we want to significantly increase the inventory’s volume based on socio-demographic criteria (such as age and gender). Thanks to PrediCube we will be able to do this in the very near future. It goes without saying that this approach will positively impact our business and product offering,” says Philippe Degueldre, director business intelligence at Pebble Media, managing online advertising for 80 premium websites – such as VRT, Telenet, RTBF, Viacom, Elle and LinkedIn.

Strong focus on ‘privacy by design’

Dealing adequately with consumers’ privacy concerns is a major focus area for the PrediCube team; hence they are investing a great deal of effort in their ‘privacy by design’ approach.

“PrediCube works by means of cookies,” explains Prof. dr. David Martens, co-founder of PrediCube and Assistant Professor at the Faculty of Applied Economics, University of Antwerp. “First of all, web pages that use the PrediCube customer behavior prediction tool will ask users’ explicit consent to use those cookies. If the cookies are not accepted, no behavior tracking will take place.”

“Secondly, a number of privacy safeguards have been put in place,” David Martens continues. “Users are automatically ‘forgotten’ after 30 days, their online behavior is only tracked on premium web pages – not across the whole of the Internet – and their data is never sold to other parties.”

PrediCube: bringing together the best in research and entrepreneurship

PrediCube builds on the outcomes of the DiDaM project, a collaborative research effort under the banner of iMinds Media. DiDaM investigated ways of analyzing media users’ Internet sessions in real-time and identifying patterns to help advertisers integrate relevant ads into web pages (also in real-time). Objective: providing consumers with just those ads that are relevant to them. DiDaM’s research findings and the expertise from the Applied Data Mining research center of the University of Antwerp together laid the foundation of PrediCube. The PrediCube team can also count on the support of the Start it @KBC incubator – providing them with business guidance and office space.

 

About PrediCube

PrediCube is a new tech startup that uses advanced big data technology to predict which online users are interested in a product, allowing targeted advertising on premium websites. Or how a spinoff company of University of Antwerp and iMinds is ready to go head to head with Facebook and Google to compete for online advertising budgets. PrediCube results from an iMinds Media project that ended in 2014, investigating the potential of data for improved advertising (together with partners Concentra, Pebble Media, AdHese and KU Leuven). PrediCube has been co-founded by prof. David Martens, who heads the Applied Data Mining research group at the University of Antwerp (faculty of Applied Economic Sciences), and whose research focuses on the development and application of data mining algorithms. PrediCube was founded in October 2014, and is part of the Start it @KBC incubator. Current customers include Batibouw, Engels Ramen, Verandaland and Triple Living.

Contact

Press coverage about this lauch:

Sponsors of the Data Innovation Summit – Brussels

This event is organized by

Brussels Data Science Community

We love doing data for good

Structural Summit Partners

Axa  Agoria  Euroclear

Academic Partners

ucl_logo KUL ULB  Ugent   ULG   UMONS   UNamur   Universiteit Antwerpen   vub_0

Summit Sponsors

sas-logo Keyrus

Exhibitors

Business Insight   logo_businessdecisionBig-Industries-stamp-logo  Arrow-Group2    finaxys  datalayer   Infofarm   Keyrus   mathworks microstrategy   neo4j   pépite    sentianceDeloitte-logoRIAInformatica-logo Dataminded_Logo_transparant_96px_0

Job-flash partners

Event – Antwerp – Data Mining for Auditing and Fraud Detection

Antwerp Tax Academy

Data Mining for Auditing and Fraud Detection

Date: 06/11/2014 until 06/11/2014
At: 14:00

Program

  • 14.00-14.05 pm: Welcome by representative UAntwerp
  • 14.05-14.25 pm: Introduction by State Secretary for Social and Fiscal Fraud John Crombez
  • 14.30-15.15 pm: Introduction to Data Mining and a Case in Residence Fraud Detection by prof. dr. ir. David Martens (UAntwerp)
  • 15.15-16.00 pm: Data Analysis for Better Auditing and Policy Making by Rudy Genbrugge (DG for Agriculture and Rural Development, European Commission)
  • 16.00-16.15 pm: Break
  • 16.15-17.00 pm: Process Mining for Auditing and Fraud Detection by prof. dr. ir. Wil van der Aelst (TU Eindhoven)
  • 17.00-17.45 pm: Panel discussion on the application and use of data mining with questions from the audience

    Panel led by representatives of ATA and

    • Willem Debeuckelaere (president Belgian Privacy Committee)
    • John Crombez (Belgian State Secretary for Fraud)
    • Harold Van Koeckhoven (CEO of the Institute of Internal Auditors (IIA) – Belgium)
    • Dierk op ‘t Eynde (Coordinator data mining at FOD Financiën)
    • Luc Toelen (Instituut der Bedrijfsrevisoren)
  • 17.45-17.50 pm: Closing remarks by representative AMS, followed by reception.

Practical info

In collaboration with

  • Antwerp Tax Academy
  • Antwerp Management School
  • Association of Certified Fraud Examiners.