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. Youtube – Twitter – Facebook.
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.
Reacfinexplained 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.
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.
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. ”
Jan Sonck – Head of Enterprise Innovation @ Proximus – slides How do we use Data Science in a Telecom Operator? All PostsExample of external use cases: which business question, which data? What about privacy concerns?
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.
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
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.
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…
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?