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Workshop day 2

1Main auditorium

  • Big Data trends and strategy
  • Participants’ welcome

    09h00 - 09h10

  • Opening Keynote

    09h10 - 09h30

  • Keynote

    09h30 - 09h50

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

  • Cybersecurity and Big Data

    09h50 - 19h10
    Keynote
    • Vincent STRUBEL Head of Expertise Department ANSSI

  • Big Data and AI: rebuilding trust

    10h10 - 10h30
    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

    10h30 - 11h10

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

    11h10 - 11h30
    Keynote
  • Analytics, Big Data, Artificial Intelligence: which solution or combination should you choose and for which type of usage?

    11h30 - 12h10
    Round table
  • Presentation of the BIG DATA Innovation Awards

    12h10 - 12h40

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

    12h40 - 14h00

    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?

    14h00 - 14h20

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

    14h20 - 14h40

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

    14h40 - 15h00

    • Damien PICHOT Head of Flows MONOPRIX

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

    15h00 - 15h20

    -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

    15h20 - 16h00

  • Big Data for Good use case

    16h00 - 16h20

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

    16h20 - 16h40

    • 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

    16h40 - 17h00

  • Using Big Data to manage public spaces?

    17h00 - 17h20

    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

    14h00 - 14h40

    • Stephen BROBST Chief Technology Officer TERADATA

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

    14h40 - 15h00

    • 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?

    15h00 - 15h20
    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

    15h20 - 16h00

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

    16h00 - 16h20

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

    16h20 - 16h40

  • Using different cloud-based services to support Big Data

    16h40 - 17h00

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

    17h00 - 17h20

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

Workshop A

  • 09h30 - 10h00

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

    NoOps : A data platform data serverless with Google Cloud Platform

  • 11h30 - 12h00

  • 12h00 - 12h30

  • 12h30 - 13h00

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

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

  • 15h00 - 15h30

  • 15h30 - 16h00

  • 16h00 - 16h30

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

  • 16h30 - 17h00

Workshop B

  • 09h30 - 10h00

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h00 - 12h30

  • 12h30 - 13h00

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

  • 15h30 - 16h00

  • 16h00 - 16h30

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

Workshop C

  • 09h30 - 10h00

  • 10h00 - 10h30

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

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h00 - 12h30

  • 12h30 - 13h00

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

  • 15h30 - 16h00

  • 16h00 - 16h30

  • 16h30 - 17h00

Workshop D

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

  • 12h30 - 13h00

  • 13h00 - 13h30

  • 13h30 - 14h00

  • 14h00 - 14h30

  • 14h30 - 15h00

  • 15h00 - 15h30

Workshop E

  • 10h00 - 10h30

  • 10h30 - 11h00

  • 11h00 - 11h30

  • 11h30 - 12h00

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

  • 14h30 - 15h00

  • 15h00 - 15h30

  • 15h30 - 16h00

Amphithéâtre Bleu

  • TIBCO

    09h30 - 10h15

    • TIBCO

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

    10h15 - 11h00

    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

    11h15 - 12h00

    • GROUPE ESTIA

  • EXPERT SYSTEM

    12h00 - 12h45

    • EXPERT SYSTEM


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