The #AI4Belgium and Datascience community have facilitated the nomination of some of the best #AI companies in Belgium. We are starting the recording of the video interviews this week in order to allow the community members to learn more about the projects that were delivered in the past few years. All members will be asked to vote.
On June 26th the AI & Data Science Community of Belgium will hold its 5th annual Summit. You can expect a day packed with innovative ideas, lots of networking opportunities and FUN.
Like last year our event takes place at the ULB in Brussels, 7 // tracks with 40 speakers, 12 master classes and 12 hands-on workshops. The Jobfair will be bigger and the partner village will be on the ground floor.
This year we are adding the AI Awards to reward the most interesting AI-projects and the most promissing AI-startup.
The sooner you book your ticket the lower its price and the sooner you will be able to connect to the mobile app. You will be able to start networking even before the event starts and get valuable information about each speaker, participant and exhibiting company. The app is also used to vote for the AI-Awards.
Keep an eye on our website to find out more about our exceptional line up of speakers, Master Classes and Hands-On workshops.
The Ai & Datascience community of Belgium wants to honour the most interesting projects and the most promising startups during the diSummit.
With the #AI Awards we want to engage the entire community to nominate and select the best European projects/startups. We have a plan to bundle all of these projects and startups and distibute the information to all the participants.
We’re looking for diverse speakers in the fields of Artificial Intelligence & Data Science: Human, Technical, Social, Democratic Legal & Ethical aspects. We engage in avoiding all male panels and each year work toward a more representative selections of speakers at our events.
After Denmark and Finland published their strategies last week, Belgium released its own plan Monday. Ministers De Backer & De Croo were joined by Commission Vice President Andrus Ansip in Brussels forthe presentation, which — like Europe’s grand plan for AI — asserts that AI will create jobs in high-end industries and manufacturing, with ethics as a guiding idea.
This article was originally written by Politico.
A survey out this morning, seen by POLITICO, shows that Belgians are enthusiastic about the benefits of AI. But it also raises red flags about public support, with 85 percent of respondents saying they were concerned about the privacy implications of AI technology. Belgium still has some convincing to do, just as the rest of Europe does.
Meanwhile the EU’s high-level expert groupmeetstoday and tomorrow to finalize non-binding guidelines for “trustworthy” AI to be released in early April. Members will also start to discuss their next report, which focuses on boosting European investment into AI and is due for publication early this summer.
Though it’s non-binding, that second document will set the tone for what sort of regulation, if any, is needed. The group remains deeply divided. Some members argue that Europe should control its urge to regulate and let courts issue rulings as the technology progresses. Other argue that Europe needs to establish rules early in the game so as to influence AI standards worldwide.
Your Morning Tech team will discuss those questionswith decisionmakers from across the board tonight and tomorrow at this year’s“AI: Innovation & Governance” Summit here in Brussels. There will be plenty of debate about Europe’s “ethics-first” approach to catching up with China and the United States. Views on Europe’s attitude range from “it’s an act of genius” to “slow suicide.” Clickhere or scroll down for Janosch Delcker’s dive into how the world views Europe’s principle-based approach to innovation.
It is also time to submit your proposal for the #ai-awards that will be announced at the #disummit2019.
What I find interesting in the #AI4Belgium Strategy is the call to create “ecosystem that facilitate more responsible data-sharing with reinforced open data policies, more collaborations & a platform with well-structured tools and approaches.”
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. ”
Join us in London, March 19-20, 2019 for Deep Learning In Finance Summit. Discover advances in deep learning tools and techniques from the world’s leading innovators across industry, research and the financial sector. Learn about deep learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology. Register here.
A jury will make the decision on who to include in the final agenda. As we receive each year over 100 requests, we have decided to do 2 finals where you will be invited to present. Your presentation will be streamed to allow public voting.
The dates of the finals are:
April 11th at 18:30 – AI start-up idea of the year
May 16th at 18:30 – AI project of the year
You will also be invited for a short video interview that will be used to help you gain extra votes from the public.
As governments make more data publicly available, it becomes critical to understand the ways in which that data can be used to benefit society. How can government leaders improve service delivery and social impact through enhanced open data strategies?
This recent playbook gives the an interesting overview of the challenges.
Here is an overview of the proposed articles:
Turning public data to the public goodHow CDOs can promote machine learning in governmentImplementing the DATA ActHow CDOs can manage algorithmic risksConnecting data to residents through data storytellingHow CDOs can overcome obstacles to open data-sharingCDOs, health data, and the Open Science movement