Inscrivez-vous à la Newsletter pour ne rien perdre de l'événement

Programme Day 1

The conferences on which there is a euro sign « € » need a FULL Conference PASS access (charge).

A live audio-translation system is available at the Conferences Reception desk (ENGLISH ↔ FRENCH)

If you wish to book your FULL Conference PASS (charge): CLICK HERE

Less than 120 tickets left out of 2000

Main auditorium

  • Big Data trends and strategy
  • Participants’ welcome

    09h00 - 09h20
    • Enguérand RENAULT Moderator, Chief Editor Media & Technology LE FIGARO
    View in details
  • Towards a trusted cloud ecosystem?

    09h20 - 09h50

    Opening speech

    View in details
  • Cambridge Analytica and the future of Data protection

    09h50 - 10h20

    Fireside chat

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

    10h20 - 10h40

    Opinion debate

    • Charles THIBOUT Editor, FRANCE CULTURE, Researcher IRIS
    • Gilles BABINET Digital Champion European Commission
    View in details
  • Break & networking

    10h40 - 11h10
    View in details
  • 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
    View in details
  • How to get prepared for Quantum Computing

    12h00 - 12h20

    Keynote

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

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

    12h40 - 14h00
    View in details
  • Main auditorium
  • B2C Marketing Case Study Track
  • How ManoMano is using A/B testing and Big Data to continually improve its website and boost visitor satisfaction

    14h00 - 14h20

    - Best practices to adopt and pitfalls to avoid when conducting A/B testing
    - Review of the improvements rolled out following A/B testing
    - How to measure and interpret the figures: making the data available to business lines and employees 
     

    • Charles GODDET Business Data Analyst MANOMANO
    View in details
  • How Sarenza is optimising its marketing use cases by migrating its data platform to the cloud

    14h20 - 14h40

    - How can the time-to-market of critical data be reduced during sales periods?
    - Recommendation engine, pricing, fraud detection, customer return forecasts: review of the main marketing use cases
    - How to democratise access to data: creation of a Data Business unit to provide training for business lines, introduction of a Self-Service solution to provide easier access to over 500 data sources for business employees and partners
     

    • Olivier GIRARDOT Big Data Consultant, Ex Big Data Architect Sarenza
    • Romain MARRET Head of Data and Big Data Architecture SARENZA
    View in details
  • 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
    View in details
  • 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
    View in details
  • Break & networking

    15h20 - 16h00
    View in details
  • Using customer voice analysis to boost customer satisfaction

    16h00 - 16h20

    Case Study

    • François Régis CHAUMARTIN CEO PROXEM
    • Robin DOREMUS Customer Satisfaction Manager ENGIE
    View in details
  • 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
    View in details
  • 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
    View in details
  • 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
    View in details
  • Thales : Key success factors for a secured AI revolution

    17h20 - 17h40

    - How to approach AI transformation safely (security, privacy, …)? 
    - How to manage adversarial attacks (AI against AI)? 
    With 80+ data scientists & data engineers, 60+ data buckets and 40+ GPU servers, Juan David will share with us key elements that have been successfully implemented.

    • Juan David DUGAND Chief Big Data Officer, Digital Identity & Security THALES
    View in details

Amphithéâtre Bleu

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

    14h00 - 14h20

    Benoit Dageville, will share his vision for analytics that is driven by the needs of the business, and discuss how a cloud data platform can help business leaders to drive real transformation with data. You'll walk away with an understanding of:
    -    The most important modern data trends
    -    The challenges that these trends present to infrastructure-driven analytics teams
    -    The opportunities that a business-needs driven cloud data platform can enable
     

    • Benoit DAGEVILLE Co-funder & Products Chairman SNOWFLAKE
    View in details
  • 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
    View in details
  • How to marry analytics and data governance

    15h00 - 15h20
    • Robert DAVIS VP Product Management MICROSTRATEGY
    View in details
  • Networking break

    15h20 - 16h00
    View in details
  • Air France : Big Data & Analytics strategy in context of Hybrid cloud evolution

    16h00 - 16h20
    • Nicolas FORGUES CTO AIR FRANCE
    View in details
  • La Poste: Data wrangling, or preparing data for use by business lines

    16h20 - 16h40

    How La Poste’s Mail Division uses Big Data and AI algorithms in its IS to transform raw OCR data into quality data, notably optimising the processing of mail

    • Rachid ALILI Chief Data Scientist LA POSTE
    • Julien PIRUS Head of Industrial Development DASS LA POSTE
    View in details
  • “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
    View in details
  • Is the end nigh for Hadoop?

    17h00 - 17h20
    • Cédric CARBONE CTO OGURY
    View in details

Related tags

Book your pass today to attend Big Data Paris 2020