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1Main Auditorium

  • Big Data Trends and Strategy
  • Welcome

    9:00 am - 9:10 am

    • Enguérand RENAULT Chief Editor Media & Technology LE FIGARO

  • Keynotes

    9:00 am - 9:05 am

  • The geostrategic dimension of Data

    9:10 am - 9:40 am
    Opening Keynote
  • A decade of Big Data: review of its adoption by firms

    9:40 am - 10:00 am

    Exclusive release of the BCG study on the data maturity of 600 companies around the world
    • Elias BALTASSIS Director Europe, Data & Analytics THE BOSTON CONSULTING GROUP

  • Achieving data openness without compromising on security: the challenge embraced by the French Ministry of Armed Forces

    10:20 am - 10:40 am
    Interview
    • How the Ministry has changed its organisational culture and usage habits to encourage entities to share their data
    • Using use cases to define openness and data exploitation models
    • What added value can be generated by sharing and exploiting data and extracting its value?
    • Vice-amiral D’escadre Arnaud COUSTILLIÈRE General Manager, DGNUM MINISTRY OF ARMED FORCES

  • Break

    10:40 am - 11:10 am
    Visit & networking
  • Profiling, fake news, algorithm reliability... what kind of ethics and controls for Big Data and AI algorithms?

    11:10 am - 11:50 am
    Round table
    • How the role women play in technological innovation can be strengthened and why it is so crucial
    • How to ensure that Big Data usage does not deepen inequalities and heighten discrimination
    • Key pointers on how to start thinking about responsibility within the firm
    - Restoring citizens’ trust: an obligation for firms and institutions
    • Caroline LAIR Account Executive, SNIPS, Co-Founder WOMEN IN AI

    • Christine BALAGUÉ Professor, Chair Holder Social Networks and IoT INSTITUT MINES-TÉLÉCOM BUSINESS SCHOOL

    • Dr. Cécile WENDLING Member of the High Level Expert Group on AI, EUROPEAN COMMISSION - Group Head of Foresight AXA

  • IA and the end of solidarity: the need for an Ethic by Design approach

    11:50 am - 12:10 pm
    Keynote
    • Éric SALOBIR President OPTIC

  • Quantum computing and Big Data: the next data analysis revolution?

    12:10 pm - 12:30 pm
    Keynote
    • Damien ROUX Customer engineer GOOGLE CLOUD

  • Lunch

    12:30 pm - 2:00 pm

  • Marketing & BtoC Case Study Track

    1:50 pm - 2:00 pm

  • 1Main Auditorium
  • Marketing & BtoC Case Study Track
  • Data-Centric approach: how Covea leverages all the data its information systems generate by combining it in a single datahub

    2:00 pm - 2:20 pm

    • Centralising and pivoting the data generated by the legacy systems of the three group brands (MAAF, MMA and GMF) to facilitate the convergence and transformation of Covéa’s IS.
    • How the datahub makes data readily available to the business lines and improves customer insight: customer segmentation, highlighting risk profiles
    • Next steps: introduction of new usages, both in-house (creation of a new CRM) and externally (fraud detection)

    • Mathieu BONELLI Head of Big Data And Datahub Solutions COVEA

  • Zalando: fashion in the age of Big Data and Machine Learning

    2:20 pm - 2:40 pm

    • How do Machine learning and Data Analytics drive a relevant user experience
    • How does a multi-cloud Data Infrastructure enable world-class operations at Zalando?
    • Optimizing operations: how data driven predictive analytics enable the customer to get what they want when they want
    • Kshitij KUMAR VP Data Infrastructure ZALANDO

  • McDonald’s: how data science and Big Data have enabled McDonald’s to make the shift from a product-centric strategy to a more customer-centric one

    2:40 pm - 3:00 pm

    Big Data environment, exploiting transactional data, transforming analytics frameworks... how can raw data be turned into insight?
    • Romain GIRARD Business Insights Director MC DONALD'S FRANCE

  • Maisons du monde optimises its omnichannel marketing approach thanks to the visual analysis of Big Data

    3:00 pm - 3:20 pm

    • Marketing attribution, enhancing merchandising insight, leveraging customer feedback...: what data-driven strategy has Maisons du Monde adopted with a view to improving the customer experience?
    • How can rolling-out cloud-based scalable technology help bolster new analytics applications?
    • Next steps: leveraging improved customer insight and Big Data to enhance the procurement system
    • Review of the Maisons du Monde data pole’s organisation

    • Karim LOUEDEC Chief Data Officer MAISONS DU MONDE

  • Break

    3:20 pm - 4:00 pm
    Visit & networking
  • How does Renault use Big Data to measure the true return on its marketing campaigns in a B2B2C context?

    4:00 pm - 4:20 pm

    • Measuring the daily contribution digital marketing makes to the Renault Group’s sales by tackling the following challenges: managing complex and heterogeneous data generated by over 25 countries
    • Developing an attribution algorithm that isolates the true impact of each marketing campaign
    • Review of the business learnings and how the tool has impacted the Renault Group’s digital practices
    • Laurent CROCHET Product Owner RENAULT

    • Pierre MARCENAC Data engineer SICARA

  • How Clarins uses sentiment analysis and machine learning to leverage customer feedback

    4:20 pm - 4:40 pm

    • How customer sentiments/comments are analysed to monitor post-purchase customer relations and help fine-tune product analysis
    • Review of the introduction of a one-stop shop to centralise and analyse customer sentiments from a wide range of sources: internet comments, surveys, in-store customer interaction
    • Organisational aspect: Making the data available to frontline employees (R&D team, customer service team, sales team)
    • Pierre ANDRIEUX Responsable Data Science CLARINS

  • Product recommendation, promotion optimisation... how Cdiscount boosts its performance by personalising the online customer experience

    4:40 pm - 5:00 pm

    •How Cdiscount has tailored its service to the behaviour of its 20 million monthly visitors by using the data available to develop increasingly relevant product recommendations
    • Algorithms and artificial intelligence, how Big Data usage fosters personalisation of the online customer journey, boosting the performance of promotions
    • A human-centric approach to data usage: review of the multi-skilled “feature team” organisation adopted by Cdiscount to foster agility and innovation
    • Simon BERTHET BONDET Responsable Moteur de Recherche et Merchandising CDISCOUNT

  • How implementing a user-centric platform has offered l’Occitane a better understanding of its customers’ buying habits

    5:00 pm - 5:20 pm

    • How l’Occitane has taken its traditional decision support tool to the next level by creating a cloud-based datahub
    • Multichannel and client-first management: increased acquisition ROI for CRM campaigns, ROPO effect monitoring, predictive analytics and customer segmentation.

    • Gabriel GORGE BI and Analytics Manager L'OCCITANE

    • Laurent LETOURMY CEO YSANCE

  • How Eram incorporates internauts’ emotional data at the heart of its e-commerce strategy

    5:20 pm - 5:40 pm

    Analysing millions of images, coupling images with transactional data: how AI and neurosciences are helping Eram better understand what motivates its customers and optimise the online customer journey on its website.
    • François FEIJOO CEO ERAM

    • Xavier FISCHER Chief Product officer DATAKALAB

2Amphithéâtre Bleu

  • Consulting Track
  • The Consulting Tracks interventions start at 11 o'clock

    9:00 am - 11:00 am

  • Track Consulting

    10:00 am - 10:05 am

  • Expert Track

    1:50 pm - 2:00 pm

  • 2Amphithéâtre Bleu
  • Expert Track
  • Making an informed choice between consistency and high availability whilst enjoying a guaranteed level of service

    2:00 pm - 2:20 pm
    Opening Keynote
    • Bernard OURGHANLIAN CTO MICROSOFT

  • Review of the implementation of a secure Hadoop platform to host Orange France’s data lake, use cases and explorers

    2:20 pm - 2:40 pm

    • Review of the construction and evolution of Orange France’s Hadoop cluster; current situation and future prospects
    • Security and availability: which components need to be implemented?
    • Hervé BRUNETAUD Head of Datawarehouse competence center ORANGE

  • A practical guide to Cloud-based systems at Big Data Scale

    2:40 pm - 3:00 pm

    • Ted DUNNING Chief Application Architect MAPR

  • IOT sensor analytics with apache kafka, ksql and tensor flow

    3:00 pm - 3:20 pm

    This talk shows how to leverage Kafka and KSQL in an IoT sensor analytics scenario for continuous health checks and integration with real time monitoring systems.

    • Kai WAEHNER Technology Evangelist CONFLUENT

  • Break

    3:20 pm - 4:00 pm
    Visit & networking
  • Return on IoT scenario and Predictive Quality

    4:00 pm - 4:20 pm

    • Rémi ASTIER Senior Solutions Architect SAP

  • Finance corporate (CIB) : Data science to optimise back office activities

    4:20 pm - 4:40 pm

    • Development of predictive algorithm in credit management
    • Implementation of the algorithm and development in a “SparkMLib” environment
    • Data visualization solution provided and used by organisations
    • Florian CARINGI Coordinateur de la plateforme Hadoop de la CIB NATIXIS

    • Mikael LE BARS Data scientist NATIXIS

  • Using MDM to leverage Big Data

    4:40 pm - 5:00 pm

    • Pascal DURY VP Data management JEMS FACTORY

  • Overview of the Big Data & Machine Learning solutions worth remembering (and those worth forgetting)

    5:00 pm - 5:20 pm
    Point of view
    Critical review of the Big Data and artificial intelligence solutions currently available on the market (open source and proprietary) along with the new frameworks that deserve a trial run, those to immediately deploy and those to be replaced ASAP!
    • 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

    Data in all its forms

  • 11:30 am - 12:00 pm

  • 12:00 pm - 12:30 pm

  • 12:30 pm - 1:00 pm

    Satisfy business needs during the transition to the cloud and microservices

  • 1:00 pm - 1:30 pm

    Spark, TIMi: Speed & scalability experiments: Lessons learned

  • 1:30 pm - 2:00 pm

  • 2:00 pm - 2:30 pm

  • 2:30 pm - 3:00 pm

    End to End production ML at scale

  • 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

  • 5:30 pm - 6:00 pm

    The Art of the Possible with MicroStrategy: Augmented Intelligence, Data Management & Data Science

  • 6:00 pm - 6:30 pm

    Manage a daily data project in the company: feedback and methodological guide

Workshop B

  • 9:30 am - 10:00 am

    Introducing Birst Smart Analytics

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

    The war of the worlds will not take place: how to reconcile BI and Data Science?

  • 12:00 pm - 12:30 pm

  • 12:30 pm - 1:00 pm

    Track your data digital transformation - How Data Virtualization helps you make the most of your big data by offering a complete view of all your data, from your data sources to your "data storytelling" apps

  • 1:00 pm - 1:30 pm

    Business Intelligence + Intelligence Artificielle + Data Science: join these approaches !

  • 1:30 pm - 2:00 pm

    Uses cases feedback: artificial intelligence (AI) projects in health sector.

  • 2:00 pm - 2:30 pm

    Industrialize Data Science and Machine Learning projects with IBM Watson Studio

  • 2:30 pm - 3:00 pm

    Making Sense of Sensors, with Big Data Services and SAP Data Hub

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

    Best practices for putting in place the as a service & micro-service platforms

  • 4:00 pm - 4:30 pm

  • 4:30 pm - 5:00 pm

  • 5:00 pm - 5:30 pm

    Deep Learning for the development of autonomous systems

  • 5:30 pm - 6:00 pm

  • 6:00 pm - 6:30 pm

    Data Driven : from Strategy to Performance

Workshop C

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

    Total Exploration & Production : la Data Science en support de l'amélioration de la performance opérationnelle

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

    Deploy AI out of the lab and into the real world to achieve lasting operational benefits

  • 12:00 pm - 12:30 pm

    Big Data from scratch

  • 12:30 pm - 1:00 pm

  • 1:00 pm - 1:30 pm

  • 1:30 pm - 2:00 pm

    Big Data versus Smart Data, where to place Data Quality to ensure reliability and compliance?

  • 2:00 pm - 2:30 pm

  • 2:30 pm - 3:00 pm

    Practical use case: How to target a customer audience thanks to self-service analytics

  • 3:00 pm - 3:30 pm

    Transform your Telco Solutions with High Performance Graphs

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

    With Couchbase, analyze your data in real time without ETL

  • 4:30 pm - 5:00 pm

  • 5:00 pm - 5:30 pm

    Confidence and transparency via algorithms audit: how do you explain your AI to a regulator, to your employees, to your customers?

  • 5:30 pm - 6:00 pm

Workshop D

  • 9:30 am - 10:00 am

    Intelligent Session Storage using Redis

  • 10:00 am - 10:30 am

  • 10:30 am - 11:00 am

    How AI can humanize the customer experience?

  • 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

    Your Data Platform in a public Cloud: How to ?

  • 3:00 pm - 3:30 pm

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

    Machine Learning as a service (MLaaS) and Artificial Intelligence (AI)

  • 4:30 pm - 5:00 pm

  • 5:00 pm - 5:30 pm

    Create your own search engine

  • 5:30 pm - 6:00 pm

Workshop E

  • 9:30 am - 10:00 am

  • 10:00 am - 10:30 am

    One-Click Deployment for Distributed AI / ML / DL Environments in the Enterprise

  • 10:30 am - 11:00 am

  • 11:00 am - 11:30 am

  • 11:30 am - 12:00 pm

    Architects Guide to Scalable Technologies

  • 12:00 pm - 12:30 pm

  • 12:30 pm - 1:00 pm

  • 1:00 pm - 1:30 pm

  • 1:30 pm - 2:00 pm

  • 2:30 pm - 3:00 pm

    Make your journey easier to the Cloud with WANdisco Fusion (Azure, Amazon & Google Partner)

  • 3:00 pm - 3:30 pm

    Know your Data, Know Your Business

  • 3:30 pm - 4:00 pm

  • 4:00 pm - 4:30 pm

    Simplify the data governance process? It’s possible!

  • 4:30 pm - 5:00 pm

Amphithéâtre Bleu

  • MICROSTRATEGY

    10:00 am - 11:00 am
    HyperIntelligence, the new era of analytics
    For the first time ever, you don’t have to go looking for insights—they come to you. Find out how by joining us for this session. We’ll demonstrate how our next-generation Intelligence Platform can fundamentally transform your business.
    You will hear about:
    • HyperIntelligence, where answers find you with no clicks required,
    • Getting more from the tools you love, on the platform you trust,
    • Harnessing the latest technologies, including voice, AI, and machine learning.

    Speaker
    Henri-François CHADEISSON
    Senior Solutions Architect, MicroStrategy
    • MICROSTRATEGY

  • SNOWFLAKE

    11:00 am - 12:00 pm

    • SNOWFLAKE

  • ACCENTURE APPLIED INTELLIGENCE

    12:00 pm - 1:00 pm

    • ACCENTURE APPLIED INTELLIGENCE

  • DIGDASH

    1:00 pm - 1:30 pm

    • DIGDASH


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