Programme

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1Main Auditorium

  • Big Data Trends and Strategy
  • Keynotes

    9:00 am - 9:05 am

  • Opening Speech

    9:10 am - 9:40 am

    • Mounir MAHJOUBI French Secretary of State for Digital Affairs

  • Deep Prescription: Optimizing The Enterprise With Artificial Intelligence

    9:40 am - 10:10 am
    Keynote
    • Matthew FRITZ Director of Data Science SAMSUNG

  • My data are mine: introducing a property right on personal data

    10:10 am - 10:30 am
    Opinion
    • Gaspard KOENIG Philosopher, Founder and President of the think tank GENERATIONLIBRE

  • Break

    10:30 am - 11:00 am
    Visit & networking
  • Big Data maturity: what does that actually mean for today’s firms?

    11:00 am - 11:50 am
    Round table
    • Following investments in a data lake, BI tools, data scientists... what is the true state of play when it comes to the democratisation of Big Data usage by business lines? Is the user interface up to the task?
    • Centralised structure, decentralised structure, intermediary structure with a data lab... which is the best option for your firm?
    • Use case industrialisation: current state of play
    • Aïssa BELAID Lead Big Data & Analytics ENGIE

    • Cynthia TRAORE Head of DataLab SWISS LIFE FRANCE

    • David GIBLAS Chief Innovation, Digital and Data Officer MALAKOFF MÉDÉRIC

    • Jérémie GUEZ Head of DataLab BNP PARIBAS PERSONAL FINANCE

  • How TomTom has evolved from a Navigation Company to a Big Data Company

    11:50 am - 12:20 pm
    Keynote
    • Alain DE TAEYE Founder of TeleAtlas, Member of the Management Board TOMTOM

  • Presentation of the BIG DATA Innovation Awards

    12:20 pm - 12:40 pm
    Awards Ceremonies
    Pitch by the 4 finalists: vote for the most innovative project!
    Open to the public
  • Lunch

    12:40 pm - 2:00 pm

  • Business Line Case Study Track

    1:50 pm - 2:00 pm

  • 1Main Auditorium
  • Business Line Case Study Track
  • Gemalto’s efforts to protect online identities with the help of machine learning

    2:00 pm - 2:20 pm

    • User Experience: automated analysis of ID documents, checks to verify the authenticity of remotely-shared data, and an improved level of confidence
    • Cybersecurity: compliance with Know Your Customer (KYC) regulations, data anonymisation and security from collection to usage, including during simulation phases
    • Raphaël De Cormis VP Innovation Labs GEMALTO

  • Audi : data streaming for connected cars

    2:20 pm - 2:40 pm

    How Audi is capturing, processing, and leveraging streaming data from the vehicle fleet for autonomous driving and data driven services.
    • Hubert FISCHER Senior IT Project Manager AUDI ELECTRONICS VENTURE GMBH

  • Review of the Smart & Innovative Operation Perform program of Air Liquide : Big Data for economic performance and sustainable development

    2:40 pm - 3:00 pm

    • How has Air Liquide improved the economic performance of its group’s plants across 40 countries with the help of a prescriptive algorithm
    • How has that algorithm evolved towards a cloud-based platform in order to meet the plants’ most recent needs
    • How have that platform and algorithm been used to reduce Air Liquide’s CO2 emissions

    • Olivier RIOUX Program Manager SIO Perform AIR LIQUIDE

  • TOTAL : HOW TO DEVELOP THE TRANSVERSALITY OF INFORMATION SEARCH THANKS TO COGNITIVE SEARCH PLATFORM

    3:00 pm - 3:20 pm

    • What can be done to leverage unstructured textual data across the different fields of expertise?
    • What support can be provided for new information access usage, including natural language queries?
    • How can a shared functional tool be created that improves the user experience for all Total employees?
    • Mathilde FOURQUET Data Squad Manager TOTAL

  • Break

    3:20 pm - 4:00 pm
    Visit & networking
  • REX Société Générale

    4:00 pm - 4:20 pm

    • Emmanuelle PAYAN Chief Data Officer SOCIETE GENERALE

  • How the data-centric approach is helping drive forward Carrefour’s digital transformation

    4:20 pm - 4:40 pm

    • Data-centric and real time IS: review of the initial stages of the Phenix project; appraisal and initial results
    • Project developments and next steps: migration of the existing infrastructure to the cloud; new data benefits and usage
    • Governance: tackling the challenge of convergence across all types of usage. How can the business lines and IT be encouraged to get behind the data-centric approach in order to fully capitalize on its new benefits?
    • Jean-Christophe BRUN Director Data Platform CARREFOUR

  • Using Big Data to foster more sustainable agriculture within the framework of the European Copernicus programme

    4:40 pm - 5:00 pm

    • Artificial Intelligence and real time technologies for sustainable agricultural practices
    • Exploiting substantial volumes of data from satellite images and sensors to address the issues of agricultural irrigation and the use of inputs

    • François Thierart Co-Fondateur MyEasyFarm

    • Frédéric CLOUZEAU Ground Segment development manager AIRBUS

  • STMicroelectronics : Machine learning and detection of technical failures in a complex production line

    5:00 pm - 5:20 pm

    • Guillaume LEPELLETIER Engineer STMICROELECTRONICS

    • Thomas BAILET CTO HURENCE

  • Human Resources: how can we capitalize on Big Data to provide better career support and management?

    5:20 pm - 5:40 pm

    • How the SNCF is tackling the talent retention challenge in a market set to open up to competition in 2020.
    • How can data and AI be used to assist with Talent Management by offering better employee insight and widening the scope of possibilities as regards in-house recruitment and employee mobility?
    • Marc LAGRIFFOUL Directeur Talent Management SNCF

2Amphithéâtre Bleu

  • Consulting Track
  • The Consulting Tracks interventions start at 10 o'clock

    9:00 am - 10:00 am

  • Consulting Track

    10:00 am - 10:05 am

  • Expert Track

    1:50 pm - 2:00 pm

  • 2Amphithéâtre Bleu
  • Expert Track
  • Edge computing in Big Data

    2:00 pm - 2:20 pm

    Where does Edge computing sit between the IoT and cloud computing? How does it benefit Big Data?
    • Damien ROUX Customer engineer GOOGLE CLOUD

  • How can you capitalize on your data’s spatial dimension?

    2:20 pm - 2:40 pm

    The aim of this presentation is to describe the explosion of data with a spatial component and its growing accessibility, explore the analytical facets of spatial analysis, and demonstrate the value of incorporating the geographic dimension in the approach used to analyse mass data.
    • David JONGLEZ Business development Director ESRI

  • Anomaly detection on data flow : when Big Data challenges meet Machine Learning one’s

    2:40 pm - 3:00 pm

    Implementation of an anomaly detection solution by Canal +
    • Aymeric AUGUSTIN SVP Data CANAL+

    • Romaric LANCIEN Lead consultant MFG LABS

  • Big Data applied to cancer diagnosis by mass spectometry

    3:00 pm - 3:20 pm

    Processing extremely voluminous datasets (several billion measurements per image) generated using mass spectrometry, a technique similar to medical imaging, to improve the analysis of biological samples and boost diagnostic capabilities:
    - Data storage format on HDFS
    - Data processing optimisation and parallelisation on Spark in order to exploit all the data
    - Cancer diagnosis algorithm modelling
    • Fabien PAMELARD IT manager IMABIOTECH

    • José CORRAL GALLEGO Founder & CEO SKAPANE

  • Break

    3:20 pm - 4:00 pm
    Visit & networking
  • From Data Lakes to Machine Learning

    4:00 pm - 4:20 pm

    • The benefits of creating a Data Lake in order to build a solid base to conduct advanced analytics, fostering machine learning applications.
    • Why advanced data analytics has become a key source of value creation for firms.
    • Julien SIMON Principal Evangelist AMAZON WEB SERVICES

  • Stateful containers: how Kubernetes addresses Big Data challenges

    4:20 pm - 4:40 pm

    If microservices and containerization can bring efficiency and agility, their "stateless" side makes them unsuitable for data intensive applications.

    We will see in this presentation how the use of "stateful" containers with Kubernetes associated with a "Dataware" approach makes it possible to implement these applications without sacrificing the advantages of microservice architectures (agility, efficiency, portability).
    • Rémi FOREST Senior Solutions Architect MAPR

  • Feedbacks on SNCF governance methods

    4:40 pm - 5:00 pm

    To multiply use cases, data governance must be agile and incorporated in projects in order to truly benefit teams. Furthermore, the GDPR and other regulatory frameworks within which the SNCF operates have clearly defined rules governing dataset access.
    - How the SNCF uses agile governance to extract value from its data.
    - Challenges faced and change management programmes rolled-out amongst the SNCF workforce.

    • Julien IRIS Head of mission Fab Big Data SNCF

  • How Betclic uses data visualisation and processes several million datasets each month to boost its customer insight in real-time

    5:00 pm - 5:20 pm

    • Review of the technical choices made, from the data pipeline to data retrieval, enabling Betclic to obtain product insights
    • Next steps: Populating the data lake, implementing a data quality management system

    • Camille REVERDY IT Mobile Project manager BETCLIC

    • Christofer DAUSSION Head of data engineering team BETCLIC

Workshop A

  • 9:00 am - 9:30 am

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

  • 12:00 pm - 12:30 pm

  • 12:30 pm - 1:00 pm

    How Logitech successfully migrated to the cloud without impacting its operations with Data Virtualization

  • 1:00 pm - 1:30 pm

  • 1:30 pm - 2:00 pm

    Cloud Data Warehouse Automation

  • 2:00 pm - 2:30 pm

    How to make your data ready for AI ? With Analytics Modernization

  • 2:30 pm - 3:00 pm

    ML@scale to Transform your Business - Beyond applying ML Algorithms

  • 3:00 pm - 3:30 pm

    Industrialize intelligent processes

  • 3:30 pm - 4:00 pm

    On-premise or in the cloud ? Bring together and orchestrate both worlds to make the best out of your data

  • 4:00 pm - 4:30 pm

    Natural Language Processing, Machine Learning: bring intelligence into your bot!

  • 4:30 pm - 5:00 pm

    AI and Big Data: how to leverage enterprise back office data to feed and enrich a natural language conversation in real time ?

  • 5:00 pm - 5:30 pm

  • 5:30 pm - 6:00 pm

    GDPR, Machine Learning, and algorithm robustness, by Michael Cohen - RAKUTEN

Workshop B

  • 9:00 am - 9:30 am

    The RGPD? What a great opportunity to reinvent a virtuous, original and effective prospection policy!

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

    How to unlock the full potential of Big Data: nurturing intelligent processes

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

    The Life Cycle of a Machine Learning Project with Sinequa

  • 12:00 pm - 12:30 pm

    What AI can and can’t do (yet) for your business

  • 12:30 pm - 1:00 pm

    Big Data is Modern Data

  • 1:00 pm - 1:30 pm

    Why choose a columnar database for modern analytics

  • 1:30 pm - 2:00 pm

  • 2:00 pm - 2:30 pm

  • 2:30 pm - 3:00 pm

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

    My multilingual NLP project in 30 minutes

  • 4:30 pm - 5:00 pm

Workshop C

  • 9:00 am - 9:30 am

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

    Streaming & Finance

  • 12:00 pm - 12:30 pm

  • 12:30 pm - 1:00 pm

  • 1:00 pm - 1:30 pm

  • 1:30 pm - 2:00 pm

  • 2:00 pm - 2:30 pm

    Securing a Big Data Cluster in the Cloud by Clément Mary, Chief Operations Officer, Claranet Critical Data

  • 2:30 pm - 3:00 pm

    Vision 360° et unifiée de vos services ou comment tenir vos engagements

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

    The Art of the Possible with MicroStrategy: Augmented Intelligence, Data Management & Data Science

  • 4:00 pm - 4:30 pm

  • 4:30 pm - 5:00 pm

    How to build a competitive advantage through hyper-personalization?

Workshop D

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

    Accelerate Business Transformation with the Master Data Visualizer

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

  • 12:00 pm - 12:30 pm

    The small illustrated Data Science journal: good practices and pitfalls to avoid

  • 12:30 pm - 1:00 pm

  • 1:00 pm - 1:30 pm

    Adopt dataops practices & build a datahub to industrialize data and AI projects

  • 1:30 pm - 2:00 pm

  • 2:00 pm - 2:30 pm

  • 2:30 pm - 3:00 pm

    Why choosing a Data Management platform to industrialize a Finance Data Lake

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

  • 4:30 pm - 5:00 pm

    How to automate Big Data and integrate it into the global business landscape

Workshop E

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

    One-Click Deployment for Distributed AI / ML / DL Environments in the Enterprise

  • 11:30 am - 12:00 pm

    REX : How our Data Warehouse has became the access to our 700 TB Data Lake

  • 12:00 pm - 12:30 pm

    HOW TO BUILD A DATA-DRIVEN STRATEGY: THEORETICAL FRAMEWORKS AND EVIDENCE-BASED RESULTS

  • 1:00 pm - 1:30 pm

    AI4Business

  • 1:30 pm - 2:00 pm

  • 2:00 pm - 2:30 pm

    Machine Learning for Critical Systems

  • 2:30 pm - 3:00 pm

    The selection of an intelligent and efficient network, one of the major challenges of successful Big Data and Machine Learning Platforms deployment

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

Amphithéâtre Bleu

  • From Data Science to more Artificial Intelligence (AI): how do you take up this challenge within your company?

    10:00 am - 11:00 am

    While Data & Analytics tools are widely used or deployed, companies are now demanding more technology and systems automation. They therefore turn to AI and wonder about their own maturity in the field.
    How can you capitalize on Data Science to develop AI? What are the steps to follow and the required means? What are the evolutions to consider? What are the consequences of developing these new technologies? How can you keep control and maintain trust?

    Come to discover Data Science and AI projects feedbacks and the best practices observed in the field: smart customer relationship, predictive maintenance, quality manufacturing, field service analytics…

    Speakers :
    Jean-David Benassouli - Partner & Head of Data Intelligence, PWC
    Marc Damez-Fontaine - Director Data Intelligence, PWC
    • PWC

  • Data Catalogs are the FUTURe of Working with Data

    11:00 am - 12:00 pm

    Before the first Machine Learning Data Catalog, analysts and data scientists would typically spend more than 80% of their time in data discovery and understanding, instead of actually working with the data to uncover new insights. Today’s data catalogs ensure that instead of re-creating the wheel for every project, consumers of data can efficiently re-use existing data assets. Not only does this increase individual productivity, but often leads to a more collaborative approach to analysis and increased accuracy of the insights. Data Catalogs are delivering on the promise of increasing analyst and data science productivity 20-40% by making it easy to Find, Understand, Trust, Use and Re-use data across the enterprise. Join us to hear how major European companies like MunichRe, Scout24, and Allegro are increasing the productivity of their data teams with data catalogs.

    Speaker: Stephanie McReynolds, Vice President of Marketing
    • ALATION


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