Datascience meetup on Legaltech

 

We had in total 175 people registered for S05E03 meetup of the #datascience community of Brussels. 3 legaltech companies demonstrated how they are using datascience to offer better legal services.

Our speakers explained that the data in the legal industry is mainly words and explained us their approach to process vast amounts of unstructured data through Natural Language Processing techniques (NLP).

The event was held in the clubhouse of the AI & Datascience community at DigitYser on February 7th, 2019. Like always it started with a happy hour at 18:00. All presentations were recorded by Ricardo head of the technical team of DigitYser and made available on our different channels. YoutubeTwitter – Facebook.

Screenshot 2019-02-09 at 15.22.20.png

Presentation 1 started at 19:00:

How Reacfin proposed to use NLP and deeplearning to check conformity of legal and contractual documents in the re-assurance business.

Reacfin explained us a use case in the re-insurance business. They used NLP to automate the review of huge contracts. Aurélien Couloumy, head of data science, led us through their step by step approach to tackle this issue using Spacy.

Screenshot 2019-02-09 at 15.07.03

Presentation 2 started at 19:25:

How Jetpack.AI won the #hackBXLaw in November 2018.

The winners of the hackathon on debt recovery, Jetpack.ai, explained their problem solving approach that led them to win the contest and develop their tool: Magpie.

Dodo Chochitaichvili and Gautier Krings explained us how lawyers and data scientists worked together using an agile methodology & KISS principles  where the first iteration was the production of a skateboard.

Screenshot 2019-02-09 at 15.49.16.png

Screenshot 2019-02-09 at 15.34.19.png

Presentation 3 started at 19:50:

Darts-IP explained how AI combined with high quality data is revolutionising Intellectual Property practices.@

The managing director of Darts-ip, Evrard Van Zuylen, and the data scientist, Vignesh Baskaran, aka Vicky  introduced the technology they develop to create a comprehensive database on patents around the globe. They explained the data science process management that lead to their competitive advantage. ”

Screenshot 2019-02-09 at 15.50.18

Screenshot 2019-02-09 at 15.32.00

Screenshot 2019-02-09 at 15.04.24

 

 

#DISUMMIT2019

We are please to announce that the call for speakers is out

img_0646

Telecom Meetup was a hit – 173 registrations – Full aula @ VUB – Happy crowd

 

 

Thank you Jan, Renaud and Wim for the excellent presentations, thank you Gautier for orchestrating this event.

Latest news from our community by Philippe Van Impe – slides

Overview of data Science in the Telecom Industry and speakers introduction

Moderator: Gautier Krings – Head of Research @ Real Impact Analytics

  • Jan Sonck – Head of Enterprise Innovation @ Proximus – slides
    How do we use Data Science in a Telecom Operator?
    All Posts
    Example of external use cases: which business question, which data? What about privacy concerns?
  • Renaud Lambiotte – Assistant Professor @ FUNDP – slides 
    Social networks, from Granovetter to Zuckerberg 
  • Wim Hellemans – Head of Knowledge @ Real Impact Analytics
    How to convert Telecom data into insights?
    What are the benefits and challenges of processing telecom data.

Pictures of the event are available here .

Introduction slides here:

 

 

 

Meetup – DataScience & Telco – February 19th – Brussels

meetup

 

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 to understand why the telecom industry is attracting so many data scientists.

Agenda

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 – Head of Research @ Real Impact Analytics

  • Jan Sonck – 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 – Assistant Professor @ FUNDP
    Social networks, from Granovetter to Zuckerberg 
  • Wim Hellemans – 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 experts are welcome to do their pitch.

21h30: Networking @ KultuurKaffee

 

Register on the Meetup page please.

Data Sciences in the Telecom Sector

Thursday, Feb 19, 2015, 6:30 PM

VUB – Aula QB
Pleinlaan 2B – 1050 Brussels, BE

90 Business & Data Science pro’s Attending

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 b…

Check out this Meetup →

 

 

Hackathon hands on project with Brussels transport – Gautier Krings

check out the orriginal post & comments from Gauthier on Linkedin: Hackathon hands on project with Brussels transport

Dear all,

as discussed in yesterday’s Meetup, it would be great to have a small project to start working on, not necessary in the Data for Good environment, but rather a small project to make our first learnings, truly a hands-on project.

I am in touch with the founders of the application Contrôle Stib (http://controlestib.be/), which acts as a Coyote for Stib controls. We can have access to a dump of their data & are free to see what insights we could get from this data and whatever we can get out on the net (planned controls announced by the Stib, timetables from the website…).

I believe the topic could be fun and full of learnings, and it’s very well related to Brussels, so who could be more designated to work on this than us?

Would some people be interested in a small hackathon on this topic in the coming months?

Gautier