Conferences / Workshops
- CONFERENCE
11:30 – 12:30
Artificial Intelligence and neural networks
Patrice Wira, University lecturer in signal processing and computer science, MIPS department, UHA
Patrice Wira will present an overview of “Machine Learning”, self-learning machines, artificial intelligence and more specifically focus on neural networks.
- CONFERENCE
13:30 – 14:30
Data journalism: overview, illustration and limits
Raphaël Da Silva, data journalist
Introduction to data journalism from the 19th century to the present day; examples taken from Rue89 Strasbourg. Helpful tips and various limits.
- CONFERENCE
14:30 – 15:15
Trainings in the field of data available in Alsace
Patrice Wira (UHA), Pierre Parrend (ECAM), TBA (Epitech)
To keep up with the growing demand, Data Science interferes with formations of different levels. Overview of the data trainings held at ECAM, UHA and EPITECH
- CONFERENCE
15:15 – 16:00
To be announced
- WORKSHOP
16:30 – 17:15
Some feedback on Kaggle competition
Sébastien Juras, ALE
Kaggle competitions are online datasets given to the Data Scientist community to solve a challenge often based on the ability to create a program, mostly with Machine Learning tools, to detect or predict complex mechanisms between data. Examples: Detecting objects in a photo or predicting those who live or die on the Titanic by knowing only the profile of the passenger. Sébastien Juras will give us some feedback on his experience.
- WORKSHOP
16:30 – 17:30
Data Visualization for effective decision-making
Olivier Catherin (Actinvision)
Visualization of raw data as well as the rendering of their analyzes with graphs/drawings are critical tasks for Data Scientists. Olivier will present various data analyzes and their restitutions through the software Plateau.
- WORKSHOP
17:30 – 18:30
Live Code Captation and data transmission with LoRa
Strataggem
Live Code Captation and data transmission with LoRa.
- WORKSHOP
17:45 – 18:30
Machine Learning using R all the way through
Simon Keith (Actinvision)
This workshop will focus on building a Machine Learning application using the R language: from data analysis to the building of an API (OPEN CPU). From the driving principle to the deployment of an OPEN CPU API.
- AWARD CEREMONY
15:30 – 18:00
Pitches and award ceremony
Come and watch the pitches of the Data Trek participants and check which projects will be rewarded. The last stretch of the Data Trekkers is open to everyone!
2018 edition projects
- GOLD MEDAL / “COMPETITION” AWARD
To model wind power generation
The goal of this challenge proposed by Engie is to predict the electric production of wind turbines based on heterogeneous measurements made on them (rotor rotation speed, generator temperature, blade orientation, air temperature, frequency of network, etc.). Although wind turbines usually have an anemometer (wind speed measuring device) located at the rear of the nacelle, the measurements recorded are often considered unreliable for various reasons: quality of the measurement, disturbances related to terrain obstacles or adjacent wind turbines, recalibration of anemometers not recorded in databases, etc. Having better visibility on the production of its wind turbines would allow Engie to better identify those that are underperforming.
- SILVER MEDAL
HMTT (“how much time to”)
How Much Time To is a census and temporal data analysis platform. This platform can have multiple purposes: either answer simple questions or detect disparities in the population (quality of access to healthcare, education, etc.) . The datas can also be source data providing figures for the realization of a market study for example.
- BRONZE MEDAL
MyHRia
Creating a Smart HR assistant for information or make HR requests (e.g. leave). The assistant will be available in voice access on dedicated terminals (Raspberry) in the company, at home on Google Home or Alexa. In chat access on the web (Slack, Skype) or on the corporate intranet.
- BUSINESS AWARD
Power Tender
Power Tender provides relevant data to SMEs to improve public bidding.
- OPEN DATA AWARD
Dataviz CTS project
Dataviz CTS uses open-data to present two maps to the public. The first highlights the link between Strasbourg transport network and population density. The second is a tool allowing to choose a starting tramway stop and visualize very simply how long it takes to get anywhere in the city, taking into account the transfer time and the time of day .
Platinum Sponsors
Gold Sponsors
Training center Partners
Corporate Partners
On-site experts
Organizing committee
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