New Years Drink @VUB – Januari 21 18:30

meetup marketing

 

Dear Friends,

You are kindly invited to our New Year’s drink in the Opinio @VUB after our first meetup of the year focusing on Climate change and what the data science community could do.

Join us next Thursday 21/1 at the VUB for a #Data4Good meetup organised by the Brussels Data Science Community about Climate and #datascience with Kris Peeters, Philippe Van Impe, Jeff R Noel, Matthew Porcelli, Christophe Vercarre, Maarten Lambrechts.

Register Here

Please Please engage with us often

Agenda:

18:30 Update on the activities of the HUB and the latest news on our community

19:00 The weather Company shows their dataset and how it can be used.

• Part 1: Why Businesses Can Create Better Outcomes as the Climate Changes

 Description: Climate change is causing more extreme weather.  Businesses and governments must prepare for extreme weather.  There is no reason weather is an excuse for poor outcomes (business and public), better decisions can be made.

 Speaker and biography:  Jeff Noel, The Weather Company, Business Development Director – IBM Strategic Partnership
— Topics covered by the first topic:    == Big Data and IoT:  Why weather is a Big Deal to IBM and you    == Leveraging data to make decisions that make a difference: Examples    == Preparing for the Future

• Part 2: Weather Data, a true IOT Story

 Description: The Weather Company collects data from many sources and uses this data to improve understanding of current conditions and forecasts globally.  The data is extensive and easily leveraged to deliver new solutions.

 Speaker and biography:  Matthew Porcelli, The Weather Company, Senior Sales Engineer – IBM Partnership     —

— Topics covered by the second topic:    == Explore why weather data is a key part of IOT:  Types and structure    == Enterprise Global data from APIs:  API structure and using the data    == There is so much more!

19:45 Christophe Vercarre is active in different sustainability projects from Futureproofed.

Futureproofed is the leading sustainability consultancy in Belgium since 14 years, addressing climate change with business models, objectively measuring and mapping organisations’ impact, developing best possible business solutions to minimise environmental impact and market testing them with customers for maximum revenue impact. Serge de Gheldere and his international team of engineers and economists develop tools and strategies for decision-makers in a climate-challenged and competitive world.

20:05 The stories of  Maarten Lambrechts can be found in De TIJD, he is a Data  visualizer and storyteller and has prepared a story on “How Belgium is heating up, the making of”

20:30 Kris Peeters is the founder of Dataminded, a company specialized in Datascience and BigData technology. His talk will focus on “how can we help climate scientists with modern data technology?” – Kris build a ‘open source’ demo using 4 years NASA satellite pictures of the world showing how CO2 is spread over the countries.

Inline image 1

21:00 New Years Drink at the Opinio

 

 

 

Coached Mooc – Introduction to Big Data with Apache Spark

mooc coaching  spark-logo

What

  • Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data.
  • Study online but work in group
  • Get help from a local expert

Why we coach MOOCs

The European Data Innovation Hub is partnering with top experts to offer MOOC participants the possibility to do these online courses in group. During the duration of the Mooc participants will be welcome to come to the Hub in Brussels to work and to go through exercises with other participants. On specific days one or more domain expert will be present to coach the students.

Planning

  1. Sign up to this course here
  2. Join the meetup group here

About this course

Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then teach students how to use PySpark (part of Apache Spark) to deliver against these expectations. The course assignments include Log Mining, Textual Entity Recognition, Collaborative Filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.

This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (part of Apache Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this Python mini-quiz before the course and take this Python mini-course if they need to learn Python or refresh their Python knowledge.

What you’ll learn

  • Learn how to use Apache Spark to perform data analysis
  • How to use parallel programming to explore data sets
  • Apply Log Mining, Textual Entity Recognition and Collaborative Filtering to real world data questions
  • Prepare for the Spark Certified Developer exam

Meet the online instructor:

bio for Anthony D. Joseph

Anthony D. Joseph

Meet the coach:

Kris Peeters

Kris Peeters from Dataminded

Certificate

Pursue a Verified Certificate to highlight the knowledge and skills you gain ($50)

View a PDF of a sample edX certificate
  • Official and Verified

    Receive a credential signed by the instructor, with the institution logo to verify your achievement and increase your job prospects

  • Easily Shareable

    Add the certificate to your CV, resume or post it directly on LinkedIn

  • Proven Motivator

    Get the credential as an incentive for your successful course completion

Job opportunities ?

hidden-jobs1

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

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
1,239 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

Launch MOOC Coaching activities, First course is the Machine…

Thursday, May 28, 2015, 7:00 PM
15 Attending

Check out this Meetup Group →

Leo De Bock brings the speech of Minister Kris Peeters during the Data Innovation Summit

Leo De Bock Leo De BockLeo De Bock 1

It is so nice to be supported by Minister Kris Peeters and his team during our first Data Innovation Summit. Thank you Leo for the excellent presentation.

  • Here is the video from Leo De Boeck.
  • See all presentations from the summit here
  • See all  the pictures from the event here

 

Ladies and gentlemen, 

First of all, I would like to apologise Vice Prime minister Kris Peeters for not being able to make it to this meeting due to a political meeting that succeeded to eventually dominate his agenda.  

On days like these, when the bright minds of the world of data come together, we have a great opportunity to look ahead. We can discuss the next step in a field that progresses at an impressive speed. 

Now that digital has become the new normal, what will be the new extraordinary?  

The digital economy is one of the most dynamic and promising sectors in terms of development potential. Its possibilities for growth far exceed those of other sectors. Mobile data traffic doubles each year, the use of the internet does so every two or three years. Today, 4 million people work in ICT in the European Union and their share increases with 3% per year, despite the economic crisis. 

For the federal government of Belgium, our prime goal is to translate this digital growth into job creation. This is why we are developing our digital agenda. If we want to stay ahead as a digital nation, we’ll need to invest. We have a more developed high speed internet infrastructure than most other countries. We do not want to give up on that advantageous position.  We instead wish to continue to invest in a 4G and LTE advanced network in Belgium. 

At the same time, we need to invest in our regulatory framework. We need to update our privacy legislation that dates back to 1992, which, in digital terms, is the stone age. Privacy is a key driver for digital progress. The digital revolution will come to a halt when people’s trust diminishes. People have to be granted the right to information ànd the right to be overlooked, ignored, forgotten. Moreover, people need to feel safe when they go online. 

The government therefore, wants to make the CyberSecurityCenter operational this year. This center will work out a strategy to secure our nation’s digital network and the information we have online. Moreover, the Federal Public Service for Economy organizes campaigns to raise awareness on the data and digital fingerprint that people leave online.  

In today’s age of big data, these kinds of campaigns have become a necessity. Never before in the history of mankind, data have been collected, processed and linked at this massive a scale. A company’s power today is not just valued in terms of capital, but also in terms of data. Data is the new gold. Data means a company can produce, ship and market their products and services far more efficiently. 

In fact, our cabinet has already reaped the benefits of big data. We have been working together with a promising Belgian start-up, called Dataminded, who analyse our social media activities and we have already changed our communication policy on the basis of this analysis. 

Both the Vice Prime Minister and his staff are convinced of the great added value of big data. But, ladies and gentlemen, this does not mean that all bets are off. As I mentioned earlier, we need some form of regulation. Moreover, we need to think about creating a level playing field. 

The term ‘big data’ is quite self-explanatory. Big companies, first and foremost, are capable of gathering a critical mass of data for useful analysis. Those companies have the means to buy data or to invest in data processing. The question therefore is, how we can make sure that small and medium sized companies – those that somewhat are the backbone of our economy – can also become part of the big data story.  

This is why the federal government is working on legislation that makes open data accessible to citizens, companies and researchers. The exchange of data between governments and other organisations, will strengthen literally every citizen and company. Sharing data means strengthening everybody. 

Companies that own data, need to keep this in mind. Big data should be more than a new way to maximize profits. Big data should also benefit society. Take product information for instance. It is abundantly present in digital networks and it is used to reduce costs, boost productivity and make marketing efforts more efficient. Product information is often highly specialized, technical and exhaustive. It is so exhaustive that it confuses the average consumer. This is the point where big data should cross the boundary between economic logic and social logic. 

Let me give you one very concrete example. In December of last year, a new European regulation on Food Information to Consumers came into force. This legislation will ensure that consumers get more information on the food products that are put on sale in stores. But given the abundance of information, it is difficult for the consumer to use this in a meaningful way. So wouldn’t companies rather share their product information with others who can present these data in a more comprehensive way? Isn’t is socially responsible, isn’t it a corporate social duty for them to share information so that this legislation can actually be applied and we can make the consumer more aware, give him a chance to make rational decisions? This is where data should be turned into knowledge. 

Now, some companies will consider this a threat. But frankly, they are wrong. If you take initiative, you create opportunities. You get ahead instead of trailing the pack. First of all, transparency about data creates trust. And trust boosts business. Secondly, when companies provide their data directly, they can be sure that the data on the market are correct. Companies that continue to shield and hesitate and stay aloof, make the wrong choice. Because eventually the data will see the light of day. The huge multinational internet companies will put this data on the market sooner or later. And they will not wait for an agreement or cooperation. 

 

Ladies and gentlemen, 

Big data is indeed big business. But it also means big responsibility. While having the new gold in your hands, you should think twice about what you use it for. Eleanor Roosevelt once said that “if you need to handle yourself, you should use your head; but if you have to handle others, use your heart.” 

I hope hearts and minds will work together when we develop the new extraordinary. Because that is what big data is. Now that digital has become the new normal, big data is the next leap.  

For now, I wish all of you a productive and fruitful conference. And together with Vice Prime Minister Peeters, I do look forward to the great innovations that all of you, the bright minds of big data, will create in the years to come. 

I thank you.

 

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:

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