La conférence parisienne autour de la Data

DataXDay est une conférence technique autour du monde de la data, destinée aux passionnés et professionnels.
Big Data, Smart Data, traitements en batch ou en temps-réel, machine learning ou deep learning, etc. sont autant de sujets qui nous passionnent.

Vous souhaitez apprendre, partager et échanger autour de ces sujets Data, venez rencontrer des experts de renommée internationale qui travaillent sur l’exploitation des données et les technologies associées.

200 participants

Venez rencontrer plus de 200 passionnés pour parler Data !

Pour les experts Data et Tech Lead

Notre objectif est de plonger au coeur des sujets techniques les plus excitants au croisement entre data science, data engineering, cloud, craftsmanship et sécurité.

Une journée

Le 17 mai prochain, venez rencontrer des speakers de renom, suivre des conférences de qualité et partagez avec nous votre vision de la Data.

Les thématiques du DataXDay

Appel à CFP

Les CFP sont cloturés.
Restez connecté pour découvrir le programme.

Speakers

Les conférences seront présentées en anglais ou en français. (Informations disponibles prochainement sur le programme)

Charles Ollion - Heuritech
Deep learning for vision into the wild

Co-founder - Heuritech

Charles Ollion, CoFounder @Heuritech, startup specialized in Deep Learning and Computer Vision. Charles Ollion is a PhD in machine learning and teaches deep learning at Ecole Polytechnique / EPITA

Charles Ollion - Heuritech
Deep learning for vision into the wild
Sylvain Friquet - Algolia
Building a Real Time Analytics API at Scale

Software Engineer - Algolia

Sylvain is a software engineer passionate about large scale infrastructures. He is currently working on the Analytics feature of Algolia. Previously, he was CTO for a biotech startup and a software engineer at Facebook, where he worked on graph search and ads product like Slideshow Ads.

Sylvain Friquet - Algolia
Building a Real Time Analytics API at Scale
Vincent Poncet - DataStax
How to get real-time value from your IoT data?

Solutions Engineer, DataStax

Vincent a plus de 13 ans d'expérience dans l'IT. Il a travaillé sur les technologies SOA, ESB, MDM et plus récemment dans le Big Data, de Hadoop à Cassandra. Il a débuté sa carrière comme consultant et est devenu un avant vente de logiciels. Depuis 2 ans, Vincent aide les clients de DataStax à adopter les technologies NoSQL et BigData.

Vincent Poncet - DataStax
How to get real-time value from your IoT data?
Florent Ramière - Confluent
Kafka beyond the brokers: Stream processing and Monitoring

Technical Account Manager, Confluent

For 20 years Florent Ramière has been creating complex to build, easy to use software. He is now a Technical Account Manager at Confluent where he helps his customers succeed with Kafka. Coding is his passion. Understanding what the users want is for him a fun game. What matters to him is getting ambitious things done in a challenging technical and human environment. When he is not in front of a computer he likes to go for long runs in the forest.

Florent Ramière - Confluent
Kafka beyond the brokers: Stream processing and Monitoring
Alberto Guggiola - Quantmetry
Exploring graphs: looking for communities & leaders

Data Scientist - Quantmetry

Alberto earned a PhD in theoretical physics for his work on rare events taking place on graphs, and since then he tries to convince anybody (clients, colleagues, relatives, people on the street) of the added value of this approach.

Alberto Guggiola - Quantmetry
Exploring graphs: looking for communities & leaders
Adrien Morvan - Photobox
Transforming pictures into memories

Machine learning engineer - Photobox

Adrien is a ML engineer at Photobox. He worked on different subjects of computer vision like simultaneous localisation and mapping and face recognition. He now focuses on topics like recommendation to deliver automated solutions at scale.

Adrien Morvan - Photobox
Transforming pictures into memories
Jacek Laskowski
The internals of query execution in Spark SQL

Software Developer

Jacek is an independent consultant, software developer and technical instructor specializing in Apache Spark, Apache Kafka and Kafka Streams (with Scala, sbt, Kubernetes, DC/OS, Apache Mesos, and Hadoop YARN). He offers software development and consultancy services with very hands-on in-depth workshops and mentoring.

Jacek Laskowski
The internals of query execution in Spark SQL
Thomas Lamirault - BlaBlaCar
Real-Time Access log analysis

Software Architect - BlaBlaCar

Software Architect Data at BlaBlaCar, he has been in the IT industry for 11 years. Other than being a passionate Java developer, he worked as a data engineer for Ericsson and Bouygue Telecom. He now brings his passion and experience for Flink and Beam to build the next data platform at BlaBlaCar.

Thomas Lamirault - BlaBlaCar
Real-Time Access log analysis
Pauline Ballereau - Air France
A data scientist journey to industrialization of machine learning

Data Scientist, Air France

Pauline is a data scientist at Air France-KLM. She is crurently working on recommender systems and digital analytics projects. She holds a MS degree in data science and operations research

Pauline Ballereau - Air France
A data scientist journey to industrialization of machine learning
Matthieu Blanc - Zeenea
Data lineage: visualize the data life cycle

VP Product - Zeenea

Matthieu has a data architect background. He has co-founded Zeenea in 2017. The company edites a data catalog connected to the Big Data systems. It centralizes all these data and metadata to provide a self-service and collaborative data solution. Matthieu is the VP Product of Zeenea.

Matthieu Blanc - Zeenea
Data lineage: visualize the data life cycle
Aurélia Nègre - Quantmetry
Exploring graphs: looking for communities & leaders

Data Scientist - Quantmetry

Aurélia Nègre has a background in statistics, and prior to working at Quantmetry, she worked at the French Central Bank where she designed and implemented credit risk models for structured products.

Aurélia Nègre - Quantmetry
Exploring graphs: looking for communities & leaders
Ana Peleteiro Ramallo - Grupo Cortefiel
The wonders of deep learning: how to leverage it for natural language processing

Data Science Director, Grupo Cortefiel (Madrid)

I am currently the Data Science Director at Grupo Cortefiel, where I lead the data science initiatives in the company. Prior to that, I was a Senior Data Scientist at Zalando, where I built data-driven products that provided fashion insights using Machine Learning and Deep Learning. I hold a PhD in Artificial Intelligence, and I have 30+ international peer-reviewed publications, as well as having spoken at 10+ international conferences. I am a firm advocate of knowledge sharing, as well as promoting women in tech initiatives.

Ana Peleteiro Ramallo - Grupo Cortefiel
The wonders of deep learning: how to leverage it for natural language processing
Cristina Oprean - Photobox
Transforming pictures into memories

Machine learning engineer - Photobox

Cristina is working as R&D engineer in machine learning @Photobox. She earned a PhD focused on handwriting recognition from Telecom ParisTech. Her current work is centered around adapting and applying the state of the art in computer vision and recommendation for Photobox innovative products.

Cristina Oprean - Photobox
Transforming pictures into memories
Speaker bientôt annoncé..
Data Lover

Speaker bientôt annoncé..
Data Lover
Kevin Nelson - Google
A crash course on Google Cloud AutoML and machine learning APIs

Google Cloud - Developer Advocate, Google

He is a Google Cloud Developer Advocate focused on storage and machine learning. Before joining the Cloud team, he was a lead Product Manager on Google Drive. Prior to joining Google in 2014, he was an entrepreneur with over 20 years of experience building and managing software and SAAS companies. In addition to working at Google, he sits on the board of Quantum Scientific Imaging, a company he co-founded which designs and manufactures scientific CCD cameras for applications that require superior image performance such as astronomical and medical imaging.

Kevin Nelson - Google
A crash course on Google Cloud AutoML and machine learning APIs
Nicolas Laille - Xebia
A data scientist journey to industrialization of machine learning

Data Engineer, Xebia

I started as a back end developer before diving deep down in big data as a data Engineer. I am now helping Air France to industrialize their on data sciences projects.

Nicolas Laille - Xebia
A data scientist journey to industrialization of machine learning
Pierre Villard - Hortonworks
How to deal with workflows lifecycle in Apache NiFi?

Solution Architect - Hortonworks

Involved in the Apache NiFi community since 2015, he is a committer and PMC member of the Apache NiFi project. Sincelery convinced by the open source software model, he is also a Solution Architect at Hortonworks since 2016.

Pierre Villard - Hortonworks
How to deal with workflows lifecycle in Apache NiFi?
Sylvain Lequeux - Xebia
Tensors in the sky with CloudML

Data Engineer - Xebia

Sylvain is Data Engineer at Xebia. He dispenses Cloudera Administrator and Machine Learning with Spark trainings. He is certified Cloudera Developper and is a Software Craftsmanship enthousiast.

Sylvain Lequeux - Xebia
Tensors in the sky with CloudML
Olivier Bergeret - AWS
Machine learning models at scale with Amazon SageMaker

Solutions Architect Manager, AWS

Solutions Architect Manager and Data/AI specialist at AWS, Olivier is the creator of two 1-day discovery workshops dedicated to AI and Big Data, and the author of some contents for SageMaker, the managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Before joining AWS, Olivier was the CTO of lacentrale.fr and the Dev Manager and previously a developer for many startups and medium media companies during the past 18 years.

Olivier Bergeret - AWS
Machine learning models at scale with Amazon SageMaker
Samah Ghalloussi - Ministère des solidarités et de la santé
Enhancing medical student practice with patient-like chatbots

Data scientist / Entrepreneure, Ministère des solidarités et de la santé

Samah worked for 3 years at the French Atomic Energy Commission (CEA) in the Natural Language Processing Lab where she contributed to several Machine Learning projects as well as the creation of chatbots. Then, she joined the start-up Stryng Messaging Inc. in June 2017 to add Artificial Intelligence to this new messaging app dedicated to professionals. She is now data scientist for the French Ministry of Health as a Public Interest Entrepreneur

Samah Ghalloussi - Ministère des solidarités et de la santé
Enhancing medical student practice with patient-like chatbots

Inscription

Early Bird
60
Regular Bird
Derniers billets
110

Contact et accès

La conférence se tiendra au Pan Piper, dans le 11ème arrondissement de Paris, à quelques pas de la station Philippe Auguste (ligne 2) ou à 5 minutes à pied de la station Charonne (ligne 9).

VENIR A LA CONFÉRENCE

PAN PIPER – 4 impasse Lamier, 75011 Paris

NOUS CONTACTER

contact@dataxday.fr

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