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Programme Day 1

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Main auditorium

  • Big Data trends and strategy
  • Participants’ welcome

    09h00 - 09h20
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  • Towards a trusted cloud ecosystem?

    09h20 - 09h50

    Opening speech

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  • Cambridge Analytica and the future of Data protection

    09h50 - 10h20

    Fireside chat

    • Christopher WYLIE Data scientist and Cambridge Analytica whistleblower
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  • Big Data geopolitics: will Europe be the alternative to the American and Chinese models?

    10h20 - 10h40

    Opinion debate

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  • Break & networking

    10h40 - 11h10
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  • How to set up an efficient data governance, adopted by all

    11h10 - 12h00

    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?

    • Elias BALTASSIS Partner & Director, Data & Analytics THE BOSTON CONSULTING GROUP
    • Chafika CHETTAOUI, PhD Chief Data Officer GROUPE SUEZ
    • Christina POIRSON Group Chief Data Officer SOCIETE GENERALE
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  • How to get prepared for Quantum Computing

    12h00 - 12h20

    Keynote

    • Maud VINET Quantum computing program manager CEA LETI
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  • Five Principles of a Modern Big Data Analytics Strategy

    12h20 - 12h40
    • Sudhir HASBE Director of Product Management GOOGLE CLOUD
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  • Lunch break

    12h40 - 14h00
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  • Main auditorium
  • B2C Marketing Case Study Track
  • Mobility and airports of the future: How is Big Data improving the travel experience?

    14h00 - 14h20

    - 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?

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  • Implementing a data lake to drive a 360-degree customer strategy

    14h20 - 14h40

    - 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?

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  • Big Data and R&D: review of how a data lake was rolled out to boost l’Oréal’s research and development work

    14h40 - 15h00

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

    15h00 - 15h20

    - How Big Data usage can help forge a cross-channel customer experience
    - Behaviour analysis: from identifying abandonment points to detecting bounce-back marketing opportunities

    • Karim PERDREAU Data Marketing Deputy Director SOCIETE GENERALE
    • Claire ROUFFAUD Product Owner Big Data SOCIETE GENERALE
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  • Break & networking

    15h20 - 16h00
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  • 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

    16h00 - 16h20

    Case Study

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

    16h20 - 16h40

    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

    • Mathieu CHOUX Partner EKIMETRICS
    • Barbara VANDEPUTTE Head of Customer & Business Intelligence CLUB MED
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  • Supporting the sales force with Big Data: how Machine Learning and data science have helped Pernod Ricard associate operational efficiency with optimised sales activities

    16h40 - 17h00

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

    17h00 - 17h20

    - 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
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Amphithéâtre Bleu

  • Expert Track
  • Amphithéâtre Bleu
  • Expert Track
  • Opening speech

    14h00 - 14h20
    • Benoit DAGEVILLE Co-funder & Products Chairman SNOWFLAKE
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  • Creating an Extensible Big Data Platform - 100s of PetaBytes with Realtime access

    14h20 - 15h00

    In his talk, Reza reflects on the challenges faced with building a reliable Big Data platform and proposes architectural solutions to scale your Big Data Platform to ingest, store, and serve 100+ PB of data with minute level latency while efficiently utilizing the hardware and meeting the security needs.

    The motivation for this talk is Uber's business needs for real-time Big data. Uber’s mission is to ignite opportunities by setting the world in motion. To fulfill this mission, Uber relies heavily on making data-driven decisions in every product area and needs to store and process an ever-increasing amount of data. To this end, Reza’s team had redesigned traditional Big Data platform solutions to provide faster, more reliable, and more-performant access by adding a few critical technologies that overcome their limitations. In his presentation, Reza will dive into the technical aspects of how the ingestion platform can be re-architected to bring in 10+ trillion events/day at minute-level latency, how the storage platform can be scaled, and how the processing platform can be redesigned to efficiently serve millions of queries and jobs/day. He will provide a behind-the-scenes look at the current Big data technology landscape, including various existing open-source technologies (e.g. Hadoop, Spark, Hive, Presto, Kafka, Avro, Parquet) as well as what had to be built at Uber and open-sourced to fill the gaps and push the boundaries such as Hudi and Marmaray.

    You can expect to leave his talk with greater insight into how things work in an extensible modern Big Data platform and will be inspired to re-envision your own data platform to make it more generic and flexible for future new requirements.

    • Reza SHIFTEHFAR Engineering Manager UBER
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  • How to marry analytics and data governance

    15h00 - 15h20
    • Roxane EDJLALI Senior Director Product Management MICROSTRATEGY
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  • Networking break

    15h20 - 16h00
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  • Use case

    16h00 - 16h20
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  • La Poste: data wrangling or preparing data within reach of business users

    16h20 - 16h40

    How La Poste uses Big Data and AI algorithms in its information system raw data into quality data by optimizing mail processing

    • Rachid ALILI Chief Data Scientist LA POSTE
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  • “One click Big Data”, dream or reality?

    16h40 - 17h00

    Is it really possible to deploy a complete Big Data environment in a “simple click”? In this session, we will study some use cases and will see how the cloud can automate the end-to-end provisioning of environments adapted. We will discover multiple analysis services and how to integrate them.

    • Julien LEPINE Solutions Architect AMAZON WEB SERVICES
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  • Is the end nigh for Hadoop?

    17h00 - 17h20
    • Cédric CARBONE CTO OGURY
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