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Tech Sessions – Day 2

1Main auditorium

  • Big Data trends and strategy
  • Participants’ welcome

    9:00 am - 9:10 am

  • Opening Keynote

    9:10 am - 9:30 am

  • Keynote

    9:30 am - 9:50 am

    • Emmanuel LETOUZÉ Connection Science Fellow, MIT - Executive Director, OPAL Project - Co Founder DATA-POP ALLIANCE

  • Cybersecurity and Big Data

    9:50 am - 7:10 pm
    Keynote
    • Vincent STRUBEL Head of Expertise Department ANSSI

  • Big Data and AI: rebuilding trust

    10:10 am - 10:30 am
    Keynote
    Aurélie Jean is a digital scientist in engineering, medicine, education, economics, finance and journalism and has spent 9 years in the USA in institutions such as MIT and Bloomberg. Aurélie is also a senior advisor for the Boston Consulting Group and a mentor for the NASA Frontier Development Lab.
    • Aurélie JEAN, Ph.D. Computational Scientist and entrepreneur

  • Break & networking

    10:30 am - 11:10 am

  • 5G and it use-cases in the business world, Big Data, and Industry 4.0

    11:10 am - 11:30 am
    Keynote
  • Analytics, Big Data, Artificial Intelligence: which solution or combination should you choose and for which type of usage?

    11:30 am - 12:10 pm
    Round table
  • Presentation of the BIG DATA Innovation Awards

    12:10 pm - 12:40 pm

    Award Ceremony
    Pitch by the 4 finalists: come and vote for the most innovative project!
    Open to the public
  • Lunch

    12:40 pm - 2:00 pm

    Your Full Conference Pass gives you access to a refreshments area
    Optimise your time: line-up meetings via our Connect by Corp platform
  • 1Main auditorium
  • B2B Business Line Case Study Track
  • Big Data faced with the challenges of electronic payment: what can be done to handle large scale transactions?

    2:00 pm - 2:20 pm

    How to make payment data transfers: processing several hundred million transactions each day
  • Using Big Data and algorithms as a lever for economic forecasting

    2:20 pm - 2:40 pm

    How predictive algorithms can be used to compile macro-economic and financial forecasts
  • Use Case Monoprix

    2:40 pm - 3:00 pm

    • Damien PICHOT Head of Flows MONOPRIX

  • How Data anonymization enables Mastercard to benefit from its data in compliance with GDPR ?

    3:00 pm - 3:20 pm

    -How to handle new privacy laws and keep the same level of valuable analytical insights ?
    -Drive data utility without compromising the privacy of their customers : how anonymized data can be used to improve the performance of data models powering personalization campaigns
    • Caroline LOUVEAUX Chief Privacy Officer MASTERCARD

    • James HOUSE Chief Customer Officer TRUATA

  • Break & networking

    3:20 pm - 4:00 pm

  • Big Data for Good use case

    4:00 pm - 4:20 pm

  • Big Data and Predictive Maintenance: how Kone anticipates breakdowns and boosts customer satisfaction

    4:20 pm - 4:40 pm

    • Agniezska BRUYERE VP Cloud & Cognitive Software IBM FRANCE

    • Cedric DE LA CHAPELLE Head of Sales KONE

  • How Big Data is shaking up the property market: delivering better service by providing buyers with geo-based information that drives their decisions

    4:40 pm - 5:00 pm

  • Using Big Data to manage public spaces?

    5:00 pm - 5:20 pm

    How a real-time Big Data platform has been rolled out to manage public spaces

2Amphithéâtre Bleu

  • Track Consulting - Free access
  • 2Amphithéâtre Bleu
  • Expert Track
  • Eliminating Bias in the deployment of Machine Learning

    2:00 pm - 2:40 pm

    • Stephen BROBST Chief Technology Officer TERADATA

  • Compagnie des Alpes : Architecture and implementation of a Data Hub in the cloud

    2:40 pm - 3:00 pm

    • Laurent LETOURMY CEO YSANCE

    • Vincent BONIAKOS Chief Digital and Technical Officer COMPAGNIE DES ALPES

  • The Amadeus Data Platform: how to process 60% of worldwide air shopping traffic in the cloud?

    3:00 pm - 3:20 pm
    Case Study
    -How Amadeus ported Big Data applications from Hadoop vendors based distribution to a full cloud native architecture based on micro-services and open source technologies (Kubernetes, Kafka ecosystem, Spark and Airflow)
    -How to handle Big Data concepts such as ETL, batch and streaming in the cloud environment and explore some DevOps activities
    -How to use sophisticated machine learning methods to anticipate any instability of the platform
    • Ahmed OULABAS Big Data Engineer AMADEUS IT GROUP

    • Mingjie LI Big Data Principal Engineer AMADEUS IT GROUP

  • Break & networking

    3:20 pm - 4:00 pm

  • Analytics, Big Data, Artificial Intelligence: which solution or combination should you choose and for which type of usage?

    4:00 pm - 4:20 pm

    Round table
  • Datahub and Big Data, a one-stop shop to drive global consistency

    4:20 pm - 4:40 pm

  • Using different cloud-based services to support Big Data

    4:40 pm - 5:00 pm

  • Big Data and real-time: what possibilities, which usage opportunities?

    5:00 pm - 5:20 pm

    Storage alone, bursting for storage, processing or both...

Workshop A

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

    NoOps : A data platform data serverless with Google Cloud Platform

  • 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

    Modernize your big data Hadoop and Spark use cases with a Cloud-native touch thanks to Google Cloud Dataproc.

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

    Beyond the limits of Open Source with SAS® Viya®, presentation of two use cases

  • 4:30 pm - 5:00 pm

Workshop B

  • 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

  • 2:30 pm - 3:00 pm

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

    Industrialization of Data Science projects: what are the restrictions ? what are the solutions?

Workshop C

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

    DataOps: accelerate and secure Data projects deployment by choosing the right tools and approach

  • 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

  • 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 D

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

  • 12:30 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

Workshop E

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

    Migrating from Hadoop to the Cloud: How to Simply Modernize Analytics Applications?

  • 2:30 pm - 3:00 pm

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

Amphithéâtre Bleu

  • TIBCO

    9:30 am - 10:15 am

    • TIBCO

  • USING ALTERYX TO DETERMINE AND LOWER THE IMPACT OF MISSING OR ABNORMAL VALUES ON MACHINE LEARNING ALGORITHMS

    10:15 am - 11:00 am

    Every 30 seconds, Roquette generates more than 1 million records of data. Such a large amount of data is prone to some abnormalities: micro-shutdowns from the network, "sick" sensors, etc. Find out how Roquette uses Alteryx to detect abnormal values and identify true or false positives. Then learn how the values confirmed as incorrect can be estimated as accurately as possible thanks to “on-the-fly” correlations analysis and how abnormal values can affect the robustness of machine learning algorithms. The more accurate your data, the more accurate your predictions!

    Speaker : Pierre-Louis Bescond, Future Factory Global Project Leader at Roquette
    • ALTERYX

  • GROUPE ESTIA

    11:15 am - 12:00 pm

    • GROUPE ESTIA

  • EXPERT SYSTEM

    12:00 pm - 12:45 pm

    • EXPERT SYSTEM


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