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Workshop day 1

1Main auditorium

  • Big Data trends and strategy
  • Participants’ welcome

    9:00 am - 9:20 am

  • Towards a trusted cloud ecosystem?

    9:20 am - 9:50 am

    Opening speech
  • Conversation about Cambridge Analytica and the future of Data protection

    9:50 am - 10:20 am

    Keynote
    • Christopher WYLIE Data Scientist and Cambridge Analytica whistleblower

  • Big Data geopolitics: will Europe be the alternative to the American and Chinese models?

    10:10 am - 10:30 am
    Opinion debate
  • Break & networking

    10:30 am - 11:10 am

  • How to set up an efficient data governance, adopted by all

    11:10 am - 12:00 pm
    Round table
    - Organization, acculturation and integrated platforms: successfully transition on these 3 axes
    - How to make CDO, CIO and business lines work hand in hand? What roles to deploy within the company, with what responsibilities?
    • Chafika CHETTAOUI, PhD Chief Data Officer SUEZ GROUP

    • Christina POIRSON Group Chief Data Officer SOCIETE GENERALE

    • Elias BALTASSIS Director Europe, Data & Analytics THE BOSTON CONSULTING GROUP

  • How to get prepared for Quantum Computing

    12:00 pm - 12:20 pm

    Keynote
    • Maud VINET Quantum computing program manager CEA LETI

  • Five Principles of a Modern Big Data Analytics Strategy

    12:20 pm - 12:40 pm
    Keynote
    Data platform architectures that were designed in the 1990s are not ready to solve business problems for 2020. Understand how a modern data analytics platform can strip out layers of complexity, common in typical big data solutions, by using fully integrated and serverless services to ingest, store and analyze data seamlessly--and make predictions based on that data--so you can zero in on mission-critical insights. In this session, Google Cloud engineer and industry thought leader will share the 5 key tenets of a modern data analytics strategy, and how they are helping enterprises to accelerate their data driven digital transformation.
    • Sudhir HASBE Director of Product Management GOOGLE CLOUD

  • 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
  • B2C Marketing Case Study Track
  • Mobility and airports of the future: How is Big Data improving the travel experience?

    2:00 pm - 2:20 pm

    - How can Wi-Fi be used to gain traveller insight and facilitate segmentation to deliver more targeted offers?
    - Reduced waiting times, real-time communication of information: What can be done to get all business lines involved in delivering better quality services?
  • Implementing a data lake to drive a 360-degree customer strategy

    2:20 pm - 2:40 pm

    - What can be done to gain real-time access to historical customer data in-store?
    - Big Data as a real-time analytical source: towards a data lake integrated with the application system?
  • Big Data and R&D: review of how a data lake was rolled out to boost l’Oréal’s research and development work

    2:40 pm - 3:00 pm

    - Over 50 million pieces of data are processed at L’Oréal’s Research & Innovation (R&I) centre each day
    - How L’Oréal’s Research & Innovation work is underpinned by a cloud-based governed data lake to gather, protect and share research data from product innovation through to end-user appraisal
    • Philippe BENIVAY IS Experimental Data Intelligence L'OREAL

  • How the Société Générale has optimised the end-to-end customer journey to deliver a multi-channel experience

    3:00 pm - 3:20 pm

    - How Big Data usage can help forge a cross-channel customer experience
    - Behaviour analysis: from identifying abandonment points to detecting bounce-back marketing opportunities
    • Claire ROUFFAUD Product Owner Big Data SOCIETE GENERALE

    • Karim PERDREAU Data Marketing Deputy Director SOCIETE GENERALE

  • Break & networking

    3:20 pm - 4:00 pm

  • Using speech analytics or voice data analysis to improve customer service: How to transcribe information from thousands of calls to provide customers with the best experience possible

    4:00 pm - 4:20 pm

    Case Study
  • Club Med: review of how a data lake was rolled out to leverage a customer 360 strategy

    4:20 pm - 4:40 pm

    Club Med walks us through the implementation of its data transformation plan and examines the technological and business learnings
    - Technological strand: hybridization of gradient boosting methods, deep learning and Bayesian models. Review of how algorithms were rolled out to identify customer journey patterns
    - The project in numbers: 14 billion scores calculated each day, +50 variables used in the models, 5 months from scoping through to mass roll-out
    • Barbara VANDEPUTTE Head of Customer & Business Intelligence CLUB MED

    • Mathieu CHOUX Partner EKIMETRICS

  • Supporting the sales force with Big Data: how Machine Learning and data science have helped Pernod Ricard associate operational efficiency with optimised sales activities

    4:40 pm - 5:00 pm

    - Review of the development of a data analysis application for the on-premise market (café, hotel and restaurant sector) with a view to honing customer insight
    - Application of a scoring model, market segmentation: how to give the sales force the power to target priority areas
    -Leveraging data: changes to business-lines’ data usage habits driven by the availability of real-time data, the identification of prospecting niches...
    How to guarantee data governance in a Big Data environment
    • Romain GAUTHIER BI & Data Solutions Manager PERNOD RICARD

  • Carrefour Drive: review of the implementation of an engine that suggests product substitutions to customers

    5:00 pm - 5:20 pm

    -Real time, Machine Learning, exploitation of structured and unstructured data: how Big Data usage allows the firm to offer a personalised service whilst boosting sales performance; over 70% of product substitutions are accepted
    -Review of substitution use cases: supply for deferred orders, proposal of in-store substitution in the event of stockouts on promotions, assistance with order picking when preparing click-and-collect orders.

    • Sylvain BELLIER Executive Vice President EPSILON FRANCE

    • Sylvain MARSAULT Director Data Science & Data Governance CARREFOUR

2Amphithéâtre Bleu

  • Track Consulting - Free access
  • 2Amphithéâtre Bleu
  • Expert Track
  • Opening speech

    2:00 pm - 2:20 pm

    • Benoit DAGEVILLE Co-Founder & Product Director SNOWFLAKE

  • “One click Big Data”, dream or reality?

    2:20 pm - 2:40 pm

    The automation of Big Data infrastructures and applications - where are we currently at?
  • Data wrangling, or preparing data for use by business lines

    2:40 pm - 3:00 pm

  • How to marry analytics and data governance

    3:00 pm - 3:20 pm

    • Roxane EDJLALI Senior Director Product Management MICROSTRATEGY

  • Break & networking

    3:20 pm - 4:00 pm

  • Use Case

    4:00 pm - 4:20 pm

  • Big Data and marketing automation, stronger together

    4:20 pm - 4:40 pm

  • “One click Big Data”, dream or reality?

    4:40 pm - 5:00 pm

    The automation of Big Data infrastructures and applications - where are we currently at?
    • Julien LEPINE Solutions Architect AMAZON WEB SERVICES

  • Is the end nigh for Hadoop?

    5:00 pm - 5:20 pm

    • Cédric CARBONE CTO OGURY

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

    The latest Google Cloud Solutions to host your legacy workload

  • 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

    Quantum Supremacy and Beyond

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

    Would you trust your model with your life?

  • 4:30 pm - 5:00 pm

  • 5:00 pm - 5:30 pm

  • 5:30 pm - 6:00 pm

  • 6:00 pm - 6:30 pm

    Get an agile data stack in weeks with no Data Engineer

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

    How to create a fraudless environment thanks to automated antifraud processes

  • 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

    Digital transformation : a real challenge

  • 5:00 pm - 5:30 pm

  • 5:30 pm - 6:00 pm

Workshop C

  • 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

    How to fail your migration in the Cloud in 5 steps

  • 12:30 pm - 1:00 pm

    Towards AI Standards, Why Context Is Critical for Artificial Intelligence

  • 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 ways to use your data in a dashboard: drive, explore and communicate.

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

  • 4:30 pm - 5:00 pm

  • 5:00 pm - 5:30 pm

  • 5:30 pm - 6:00 pm

Workshop D

  • 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

  • 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

  • 5:00 pm - 5:30 pm

Workshop E

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

    Open Source in Big Data: pick the right tech for the right job

  • 10:30 am - 11:00 am

    How Amadeus and Couchbase partner to offer best-in-class Merchandising solutions to airlines

  • 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

    Graph: from Database to Analytics

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

  • 4:30 pm - 5:00 pm

  • 5:00 pm - 5:30 pm

Amphithéâtre Bleu

  • Data portal for 16,000 customers: Conciliate analytics and digital transformation.

    10:15 am - 11:00 am

    Caceis, a subsidiary of Crédit Agricole, is specialized in providing financial services to institutional investors. The team in charge of digital and data projects will share its testimony by looking back at the origins and key points of the project:

    ● OLIS - a secure extranet portal for 16,000 customers
    ● How to offer real-time access to a consolidated and detailed vision of their activity
    ● A technical challenge: "From Big Data to Smart Data"
    ● An innovative approach with the contribution of an agile editor (DigDash)

    Speakers :
    Aziza Ben Ghozzia, Tribe Leader Big Data
    Elodie Yard, Data viz Leader
    Abdo Berberry, Head of IT Line 3D – Digital / Data / Dissemination
    • DIGDASH

  • BI on Big Data in the Cloud: Implement your Application - in One Click!

    11:15 am - 12:00 pm

    Cloud provider solutions such as Amazon Web Services provide flexible and agile environments that can scale elastically on demand and offer faster, easily deployable storage and data processing capabilities at an attractive price without having to pay for the maintenance and upkeep of the equipment.

    This allows us to envisage a greater autonomy for the business lines in the uses of the data: to be able to implement the analytical applications more quickly in order to optimize the existing processes and to innovate.

    However, many big data and analytics solutions have only shifted the complexity of implementing their solutions from on-premise environments to the cloud.

    How to keep the promise of industrialization of analytic applications in the cloud and the democratization of uses?
    How to take advantage of cloud architectures - in 1 click - to industrialize analytics applications on Big Data?
    How to guarantee an ROI for analytics projects in the cloud?

    Speakers :
    Nicolas Korchia, Co-fondateur et COO, INDEXIMA
    Patrick Ludwig Business Development Manager , AMAZON WEB SERVICES
    Dave McCann VP Migration, Marketplace & Control Services, AMAZON WEB SERVICES
    • INDEXIMA

  • JEMS DATAFACTORY

    12:00 pm - 12:45 pm

    Bpifrance is a public investment bank.finances companies from seed capital to stock exchange listing, including transfer, credit, guarantees and equity.

    The bank has initiated a transformation process aimed at placing data at the heart of the information system in order to derive maximum value from their use. In this context, Bpifrance has launched a major program to implement a DataCentric strategy and a Data & IA platform, including Datalake. The approach undertaken, the keys to success and the pitfalls to avoid will be presented.

    Speakers :
    Mohamed Lekthali – Manager Data - JEMS
    Pejman GOHARI - CDO - BPI France
    • JEMS DATAFACTORY

  • PWC

    12:45 pm - 1:30 pm

    • PWC


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