Programme

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1Main Auditorium

  • Big Data Trends and Strategy
  • Keynotes

    9:00 am - 9:05 am

  • Prescriptive models allowed by deep learning technologies

    9:00 am - 9:30 am
    Opening Keynote
    • Matthew FRITZ Director of Data Science SAMSUNG

  • The Chinese app model

    9:30 am - 9:50 am
    Keynote
  • My data are mine: introducing a property right on personal data

    9:50 am - 10:10 am
    Opinion
    • Gaspard KOENIG Philosopher, Founder and President of the think tank GENERATIONLIBRE

  • Democratisation of Big Data usage by business lines - what is the true state of play?

    10:10 am - 10:50 am
    Round table
    • David GIBLAS Chief Innovation, Digital and Data Officer MALAKOFF MÉDÉRIC

    • Jérémie GUEZ Head of DataLab BNP PARIBAS PERSONAL FINANCE

  • Break

    10:50 am - 11:20 am
    Visit & networking
  • How TomTom has evolved from a Navigation Company to a Big Data Company

    11:20 am - 11:40 am
    Keynote
    • Alain DE TAEYE Founder of TeleAtlas, Member of the Management Board TOMTOM

  • Keynote

    11:40 am - 12:00 pm

  • Presentation of the BIG DATA Innovation Awards

    12:20 pm - 12:40 pm
    Awards Ceremonies
    Pitch by the 3 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
  • Use Case : Gemalto

    2:00 pm - 2:20 pm

    • Raphaël De Cormis VP Innovation Labs GEMALTO

  • Machine Learning and AI: how can we exceed expectations and achieve a high tool reliability rate in order to detect fraud?

    2:20 pm - 2:40 pm

    How can deep learning be used to detect fraud? How can we avoid false alerts, which can generate churn and damage the customer relationship?
  • Air Liquide : Big Data for economic performance and sustainable development

    2:40 pm - 3:00 pm

    • Use of predictive algorithm in order to optimise economic performance of factories
    • Greenhouse gas emission reduction thanks to the implementation of cloud SIO Perform platform which connect Air Liquide’s factories in 40 countries
    • Olivier RIOUX Program Manager SIO Perform AIR LIQUIDE

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

    3:00 pm - 3:20 pm

    • Mathilde FOURQUET Data Squad Manager TOTAL

  • Break

    3:20 pm - 4:00 pm
    Visit & networking
  • Optimise business processes thanks to Big Data and process mining

    4:00 pm - 4:20 pm

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

    4:20 pm - 4:40 pm

    How can predictive analysis be used to manage talent within a firm?
  • Using Big Data to foster more sustainable agriculture within the framework of the European Copernicus programme

    4:40 pm - 5:00 pm

    • Exploiting substantial volumes of data (world’s third largest data supplier!) from satellite images and sensors to improve soil productivity.
    • Using real time and Artificial Intelligence to optimize agricultural practices whilst minimizing input use.
    • Gilles DREUILLES Operation And Ground Segment Development Manager AIRBUS

  • GDPR: Case study focusing on firms’ efforts to ensure compliance

    5:00 pm - 5:20 pm

    • Associating the data lake and master data management to isolate sensitive data in a dedicated space and simplify their compliance
    • How does this affect the different business lines and a firm’s internal organisation?
    • How does it affect results?

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
  • Opening Keynote

    2:00 pm - 2:20 pm

    • Damien ROUX Customer engineer GOOGLE CLOUD

  • How Big Data technology enhances information relevance by enriching the IS’s data: social networks, graphs, geospatial data, log files, correlations, real-time, streaming, data lakes.

    2:20 pm - 2:40 pm

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

    2:40 pm - 3:00 pm
    Case Study
    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

    • Fabien PAMELARD IT manager IMABIOTECH

    • José CORRAL GALLEGO Founder & CEO SKAPANE

  • Break

    3:20 pm - 4:00 pm
    Visit & networking
  • Stateful containers: how Kubernetes addresses Big Data challenges

    4:00 pm - 4:20 pm

    This presentation describes what changed and how it makes big data easier on Kubernetes.

    • Rémi FOREST Senior Solutions Architect MAPR

  • Open source technologies - current state of play

    4:20 pm - 4:40 pm

  • Using AI to leverage Big Data

    4:40 pm - 5:00 pm

    • Automated data mapping
    • Automated data preparation: automated data cleaning and transformation
    • Data linking
    • Data presentation: use of new data / formats (graphs, geospatial...)
    • Julien SIMON Principal Evangelist AMAZON WEB SERVICES

  • Governance: using MDM to leverage Big Data

    5:00 pm - 5:20 pm

    • MDM in a hybrid cloud environment: benefits and challenges
    • Which MDM architecture should you choose?

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

  • 1:00 pm - 1:30 pm

  • 1:30 pm - 2:00 pm

  • 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

    Real-time analysis of IoT streaming data: opportunities, issues and benefits. Feedback of experiences on real cases applications.

  • 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

Workshop B

  • 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

  • 12:00 pm - 12:30 pm

  • 12:30 pm - 1:00 pm

    Big Data is Modern Data

  • 1:00 pm - 1:30 pm

  • 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

  • 4:30 pm - 5:00 pm

Workshop C

  • 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

  • 2:30 pm - 3:00 pm

  • 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 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

  • 12:30 pm - 1:00 pm

  • 1:00 pm - 1:30 pm

  • 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

  • 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

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 & Artificial Intelligence, PWC
    • PWC

  • MARKLOGIC

    11:00 am - 12:00 pm

    • MARKLOGIC


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