How often do you use your mobile phone every day?
Yes, the telecom industry is one of the richest in terms of customer data!
This gold mine of data has led telecom operators to be at the forefront of Big Data applications and has attracted leading researchers from the academic world.This session will reveal how these exceptional data sources can be leveraged, from 3 different points of view: the telecom operator, the academia and the telecom Big Data solution provider.
Join us tonight to understand why the telecom industry is attracting so many data scientists.
18h30 - Opening
Update on the activities of the community
- Doing the Data Science Moocs together
- Vitual Global Hackathon – HACKSKI
- Overview of the outstanding datascience vacancies in Belgium
- Agenda of coming events, trainings, ...
Introduction by moderator
Overview of data Science in the Telecom Industry and speakers introduction
Moderator: Gautier Krings (http://be.linkedin.com/pub/gautier-krings/8/310/739) - Head of Research @ Real Impact Analytics
Jan Sonck (http://be.linkedin.com/in/jansonck) - Head of Enterprise Innovation @ Proximus
How do we use Data Science in a Telecom Operator?
Example of external use cases: which business question, which data? What about privacy concerns?
Renaud Lambiotte (http://be.linkedin.com/pub/renaud-lambiotte/2/1a2/92b) - Assistant Professor @ FUNDP
Social networks, from Granovetter to Zuckerberg
Wim Hellemans (http://za.linkedin.com/pub/wim-hellemans/0/42a/55) - Head of Knowledge @ Real Impact Analytics
How to convert Telecom data into insights?
What are the benefits and challenges of processing telecom data.
21h00: Open Sessions
Attendants are invited on the spot to share in a few minutes interesting DataScience issues they have encountered in the last month. Recent startups, other meetup groups and teamleaders recruiting are welcome to do their pitch.
21h30: Networking @ KultuurKaffee (http://www.kultuurkaffee.be/)