Videos & Slides
The internals of query execution in Spark SQL
Jacek – Laskowski
A crash course on Google Cloud AutoML and machine learning APIs
Kevin Nelson – Google
Kafka beyond the brokers: Stream processing and Monitoring
Florent Ramière – Confluent
Data lineage: visualize the data life cycle
Matthieu Blanc – Zeenea
How to deal with workflows lifecycle in Apache NiFi
Pierre Villard – Hortonworks
Enhancing medical student practice with patient-like chatbots
Samah Ghalloussi – MInistère des solidarités et de la santé
Real-Time Access log analysis
Thomas Lamirault – BlaBlaCar
Towards the ownership and monetization of personal data
Alain Bensoussan – Lexing Alain Bensoussan Avocats
How to get real-time value from your IoT data?
Vincent Poncet – Datastax
Visualizing algorithms
Samya Barkaoui & Pierre Schmidt – Toucan Toco
Tensors in the sky with CloudML
Sylvain Lequeux – Xebia
The wonders of deep learning: how to leverage it for natural language processing
Ana Peleitero – Tendam
Machine learning models at scale with Amazon SageMaker
Olivier Bergeret – AWS
Deep learning for vision into the wild
Charles Ollion – Heuritech
A data scientist journey to industrialization of machine learning
Pauline Ballereau – Air France & Nicolas Laille – Xebia
Computer vision : a pragmatic alliance between deep learning and a more traditional technique
Pablo Lopez et Pierre Sendorek – Xebia
Building a Real Time Analytics API at Scale
Sylvain Friquet – Algolia
Transforming pictures into memories
Adrien Morvan & Cristina Oprean – Photobox
Exploring graphs: looking for communities & leaders
Alberto Guggiola & Aurélia Nègre – Quantmetry