Programme

Programme 2020

Data Driven Business

We would like to warmly invite you to the Data Driven Business Summit. The doors open at 10:00 am. After receipt and registration we will kick off the day at 10:30 am with the official opening! The programme consist of three tracks: Data Strategy, Human Factor and Technological trends. Learn more about the tracks

Registration

Opening Programme

OLIVIER VAN DUÜREN | FOUNDER | THE DUALARITY

Keynote: Shifting Towards an Insights Driven Culture to Meet the Strategic Business Goals

LIEVEN FOUBERT | DIRECTOR DATA & INSIGHTS | TELENET

Keynote: Artificial Intelligent 007 or Machine Learning Greta?

GILLES ANDRÉ | CEO | OPPSCIENCE

Morning break with one-to-one meetings

Break-out Sessions: Content will be announced soon

Lunchbreak with one-to-one meetings

Keynote: Use Cases & Lessons Learned in Using a Data Lake MVP

NATHALIE RIGOUTS | HEAD OF IT INNOVATION | BOREALIS

Keynote: Building Digital Trust: The Role of Data Science Ethics in the Digital - and Corona - Age

DAVID MARTENS | PROFESSOR APPLIED DATA MINING | UNIVERSITY OF ANTWERP

Keynote: How VRT has Used Data and Research to Become a Highly Respected and Used Media Company

Wouter Quartier | Manager Corporate Development & Strategy | VRT

Closing Programme by the Chairman

Olivier Van Duüren, Chairman | Founder, The Dualarity

More sessions will follow soon

Opening Programme

Olivier van Duüren | Founder | The Dualarity

the-dualarity
Lieven Foubert

Lieven Foubert

Director Data & Insights at Telenet

Shifting Towards an Insights Driven Culture to Meet the Strategic Business Goals

Lieven Foubert | Director Data & Insights | Telenet

When do we reach value out of our data efforts? How do we move an organisation towards this new way of working? How can we become really customer centric? Telenet Business found his way in this challenge and will give you some interesting insights on the key principles for success, how to set up the right organisational format, the different data capabilities they put focus on and the way of implementing those projects. Lieven Foubert will bring a specific example of a case with a start-up.

Telenet
Gilles Andre

Gilles Andre

CEO & Founder at oppScience

Artificial Intelligent 007 or Machine Learning Greta?

Gilles André | CEO | Oppscience

In this interactive session, we facilitate Data, BI & Analytics Professionals to discuss how to maximise the value of data to meet strategic goals via: data quality and quantity, data siloes/multiple data copies, and (tie) organisational siloes and data governance.

This session is supervised by Olivier van Duüren, with the assistance of various experts.

oppScience

Morning break with one-to-one meetings

Lunchbreak with one-to-one meetings

Nathalie Rigouts

Nathalie Rigouts

Head of IT Innovation at Borealis

Use Cases & Lessons Learned in Using a Data Lake MVP

Nathalie Rigouts | Head of Innovation IT | Borealis

In order to overcome various data challenges, the Borealis data & analytics team decided to invest in a Data Lake. With this lake Borealis, a leading provider of innovative solutions in the fields of polyolefins, base chemicals and fertilizers, wants to:

– reduce data preparation time for data science work;
– be able to deal with the evolving data scope, growing volume and increasing complexity
– build something that power users can develop, operate and leverage themselves

In this keynote Nathalie Rigouts, Head of IT Innovation of Borealis will share the current status and lessons learned on this agile way of working to incrementally develop a solution for data challenges in an interactive way, driven by business needs. Nathalie will also explain why having a data lake will not solve all issues and will highlight how to handle data governance.

Borealis
David Martens

David Martens

Professor Applied Data Mining at The University of Antwerp

Building Digital Trust: The Role of Data Science Ethics in the Digital and Corona Age

David Martens | Professor Applied Data Mining | University of Antwerp

Data science ethics is about deciding what is right and wrong in data science. Based on several cautionary tales and concepts, Professor David Martens will demonstrate the importance of considering data science ethics for businesses, both in terms of potential risks, as well as the value it can deliver. This ranges from being able to explain predictions like in the recent Apple Card case and learning from wrong patterns in radiology, to detecting discrimination against sensitive groups like Amazon recruitment system discriminating against women and the US recidivism prediction system discriminating against black persons. Professor David Martens will also share his insights on the use of data as a weapon against pandemic.

Universiteit Antwerpen
Wouter Quartier

Wouter Quartier

Manager Corporate Development & Strategy at VRT

How VRT has Used Data and Research to Become a Highly Respected and Used Media Company

Wouter Quartier | Manager Corporate Development & Strategy | VRT

VRT is built on strong brands. In Mass media these brands are built on relations. Research and data has been the base to understand citizens and act as great companions. In an international competitive environment, how can local media-companies demonstrate their value? And how can we keep track of the diverging media use of our services? It is in VRT’s vision to help creating new measurement systems within an innovative data-approach. Collaboration with other (media)-companies will be key for success. Our ambitions are to collect and connect user data, demonstrate value and to develop analytic and predictive models.

Closing Programme

Olivier van Duüren | Founder | The Dualarity

the-dualarity
Nathalie Rigouts

Nathalie Rigouts

Head of IT Innovation at Borealis

Use Cases & Lessons Learned in Using a Data Lake MVP

Nathalie Rigouts | Head of IT Innovation | Borealis

In order to overcome various data challenges, the Borealis data & analytics team decided to invest in a Data Lake. With this lake Borealis, a leading provider of innovative solutions in the fields of polyolefins, base chemicals and fertilizers, wants to:

– reduce data preparation time for data science work;
– be able to deal with the evolving data scope, growing volume and increasing complexity
– build something that power users can develop, operate and leverage themselves

In this keynote Nathalie Rigouts, Head of IT Innovation of Borealis will share the current status and lessons learned on this agile way of working to incrementally develop a solution for data challenges in an interactive way, driven by business needs. Nathalie will also explain why having a data lake will not solve all issues and will highlight how to handle data governance.

Borealis
Wouter Quartier

Wouter Quartier

Manager Corporate Development & Strategy at VRT

How VRT has Used Data and Research to Become a Highly Respected and Used Media Company

Wouter Quartier | Manager Corporate Development & Strategy | VRT

VRT is built on strong brands. In Mass media these brands are built on relations. Research and data has been the base to understand citizens and act as great companions. In an international competitive environment, how can local media-companies demonstrate their value? And how can we keep track of the diverging media use of our services? It is in VRT’s vision to help creating new measurement systems within an innovative data-approach. Collaboration with other (media)-companies will be key for success. Our ambitions are to collect and connect user data, demonstrate value and to develop analytic and predictive models.

Lieven Foubert

Lieven Foubert

Director Data & Insights at Telenet

Shifting Towards an Insights Driven Culture to Meet the Strategic Business Goals

Lieven Foubert | Director Data & Insights | Telenet

When do we reach value out of our data efforts? How do we move an organisation towards this new way of working? How can we become really customer centric? Telenet Business found his way in this challenge and will give you some interesting insights on the key principles for success, how to set up the right organisational format, the different data capabilities they put focus on and the way of implementing those projects. Lieven Foubert will bring a specific example of a case with a start-up.

Telenet
David Martens

David Martens

Professor Applied Data Mining at The University of Antwerp

Building Digital Trust: The Role of Data Science Ethics in the Digital - and Corona - Age

David Martens | Professor Applied Data Mining | University of Antwerp

Data science ethics is about deciding what is right and wrong in data science. Based on several cautionary tales and concepts, Professor David Martens will demonstrate the importance of considering data science ethics for businesses, both in terms of potential risks, as well as the value it can deliver. This ranges from being able to explain predictions like in the recent Apple Card case and learning from wrong patterns in radiology, to detecting discrimination against sensitive groups like Amazon recruitment system discriminating against women and the US recidivism prediction system discriminating against black persons. Professor David Martens will also share his insights on the use of data as a weapon against pandemic.

Universiteit Antwerpen
Gilles Andre

Gilles Andre

CEO & Founder at oppScience

Artificial Intelligent 007 or Machine Learning Greta?

Gilles André | CEO | OppScience

80% of available information within organisations is unstructured or semi-structured, hence representing a vast reservoir of knowledge and opportunities which are not leveraged today. The combination of AI, Natural Language Processing, Search and Graph technologies enables to extract hidden opportunities from structured and unstructured data. New opportunities often require new approaches. In this presentation, Gilles André will share his insights on how you can turn Big Data into ROI, leveraging Artificial Intelligence. The content of the session is supported by practical 3 use cases, with high level impact:

  1. Modern day criminal investigation support for the French Police
  2. The new Eco-logic: leveraging AI to marry legal requirements with ecological/economical needs at SGEvT (Societe Generale d’E’valuation des Territoires)
  3. Building an internal version of LinkedIN: who is the ‘Next Best (and available) Resource

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oppScience

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