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.

 

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Training – Executive Class – Small talk on Big Data by Corina Ciechanow

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This is an informative talk aimed to managers and decision makers about what Big Data is and how it can be used for business.

Target audience

All managers of functional departments (marketing, operations, HR, strategists…), decision makers, Project managers, CXO, limited from 8 – 12 participants.

Details

  • Duration: One afternoon seminar (3h):
    •  When Thursday 29/10
  • Location: European Data Innovation Hub @ AXA, Vorstlaan 23, 1170 Brussel
  • Price: 270€ per manager

Motivation

Everybody is talking about Big Data but mainly on technical terms and around the IT department.  What is Big Data about, and why should you care if you are not a technical person?  ‘Data is the new Gold’ says the EU, how could you do business with this new resource?

Overview

This seminar provides you an overview around these questions.  We will discuss the impacts of riding on the Big Data wave, the impact of not doing it, and why to succeed in the Big Data era managers need to embrace this new paradigm.

Additionally, it will provide you with the technical keywords to follow future developments of this trend in order to take informed decisions.

Topics

1.      What does the term Big Data really means

2.      Big Data means Big Business

3.      An aperçu of where the technology stands

4.      Main players

5.     Big Data Issues

6.     What are the societal impacts (to be prepared)

About the speaker

corina

Corina Ciechanow is a dynamic presenter with a solid technical background as well as a long trajectory of making technology trends accessible to managers and decision-makers.
Former professor in Machine Learning, she has a long experience as consultant (www.waterloohills.com), managing IT projects for big companies as well as for international organizations.
Since 2012, Corina is also VP Women & Technology at Professional Women International (www.pwi.be), where she spreads the word on the new Internet trends.

#datascience training programmes

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.

Here are some training highlights for the coming months:

Check out the full agenda here.

Have you been to our Meetups yet ?

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

Brussels Data Science Meetup

Brussels, BE
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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

Event – SAPForum – Sept9 @Tour & Taxis, Brussels

Wednesday, Sep 9, 2015, 12:00 AM
2 Attending

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Data Science Trainings Belgium

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The European Data Innovation Hub facilitates  a full series of Data Science and Big Data training programmes organized by its partners.

You can expect

  • a series of executive training to support your management in understanding the benefits of analytics
  • a series of coached MOOCs on machine learning and big data technology
  • a series of hands-on training on the different datascience technologies

All members of the European Data Science and Big Data communities are welcome to use our Brussels based professional facilities to give their training. The members of the hub will promote your training and include it on our e-learning platform for further use.

The full list is available here.

Here are some highlights for the coming months:

Check out the full agenda here.

How to get the best price:

You can always use Eventbrite to order and pay for your ad-hoc trainings but if you want to benefit from volume discounts then you could contact Philippe on 0477/23.78.42 | pvanimpe@dihub.eu .

Have you been to our Meetups yet ?

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

Brussels Data Science Meetup

Brussels, BE
1,608 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

IBM Bluemix and Analytics – Introduction

Tuesday, Feb 9, 2016, 6:30 PM
22 Attending

Check out this Meetup Group →

The essence of Predictive Analytics for Managers – Training – Oct 1st 2015 – @Data Innovation Hub

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The essence of Predictive Analytics for Managers

Defining and managing projects in predictive analytics

Target audience

Managers of analytical teams, Managers of functional departments (marketing, risk, operations, HR,…), Project managers, CXO.

Details

  • Duration: One afternoon workshop (4h):
    • October 1st, 2015
  • Location: European Data Innovation Hub @ AXA, Vorstlaan 23, 1170 Brussel
  • Price: 570€ per manager
  • Limited from 8 – 12 participants

Registration:

Please register using Eventbrite following this link.

Motivation

Fueled by the energy around Big Data projects, an increasing number of managers are attracted to the domain of analytics. When successfully applied, analytics provides the key to turn data into big value. But how do we ensure organisations reap the maximum return on their investments? How to increase the impact advanced analytical teams have on their organisations? This training provides a backbone for managing projects in Predictive Analytics that maximally impact the organisation. Additionally, this training establishes the foundation for fruitful collaboration between analysts, their peers and decision makers.

Overview

Applying predictive analytics has the potential to bring a huge impact to an organisation. Typical goals of such high-impact projects involve:

  • (i) increase targeted marketing success by predicting response
  • (ii) increase marketing relevance by offer personalisation,
  • (iii) decrease risk exposure by predicting credit or fraud risk,
  • (iv) increase process efficiency,
  • (v) retain crucial staff members, etc.

In this training, we focus on the key elements needed for managers to obtain success through predictive analytics.
The workshop is designed as an interactive learning experience packed with best practices illustrated with real domain experience.

Learning objectives

After the training, participants will be able to define and manage developments in Predictive Analytics. In practice participants will be able to:

  • define a project in predictive analytics in detail & understand:
    • a simple process useful for managing the development of predictive models
    • the intuition of each step in the development process
    • the underlying principles for predictive analytics
    • the requirements and limitations of predictive analytics
    • how to manage and increase usage of predictive analytics

Topics

  1. what is predictive analytics
  2. basic underlying principles for predictive analytics
  3. requirements for predictive analytics
  4. limitations of predictive analytics
  5. a reliable process for managing and building predictive models

Prerequisites

Before the start of the first session, participants should attempt to define a practical and relevant project within their organisation. At completion of the workshop, it is the aim that managers will be able to further define and understand the steps needed to manage this challenge to success.

About the trainer

Geert Verstraeten

Geert Verstraeten (PhD) is a dynamic trainer with a solid background both in predictive analytics and in professional training. Geert has 14 years of experience in building predictive models for organisations in a wide array of industries. Additionally, he has 14 years of academic and industry experience
in training and coaching managers and analysts to succeed with Predictve Analytics. Since 2006, he is managing partner at Python Predictions (www.pythonpredictions.com), a Brussels-based niche player in Predictive Analytics, and was involved in building analytical communities both in Belgium (www.BAQMaR.eu) and abroad (www.pawcon.com/london/). Geert is a frequent speaker at academic and business conferences in analytics. Since 2014, Geert is a certified professional trainer (http://www.hrdacademy.be/).

Certification

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Attendees receive an electronic version of the handouts and a proof of participation at the conclusion of the workshop.

More information


Here is the link to a nice write up about this executive class.

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