Programme : Lundi 14 Septembre 2020

BIG DATA - Salle de conférences 1

• Conférences stratégiques

• Full Pass Premium

  Full Pass Digital

• Accueil des participants

  09h00 - 09h10

  €

  • 
    Enguérand RENAULT Animateur des conférences, Rédacteur en chef média et technologies LE FIGARO

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• Discours d'ouverture

  09h10 - 09h40

  €

  • 
    Cédric O Secrétaire d’Etat chargé du Numérique

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• Cambridge Analytica et le futur de la protection des données

  09h40 - 10h10

  Fireside chat

  €

  • 
    Christopher WYLIE Data Scientist et lanceur d'alerte dans l'affaire Cambridge Analytica

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• Géopolitique du Big Data : l'Europe sera-t-elle l'alternative aux modèles américains et chinois ?

  10h10 - 10h40

  Débat d'opinion

  €

  • 
    Charles THIBOUT Rédacteur en chef, FRANCE CULTURE - Chercheur Associé IRIS
  • 
    Gilles BABINET Digital Champion Commission européenne

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• Pause networking

  10h40 - 11h10

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• Comment déployer une gouvernance des données performante et adoptée par tous

  11h10 - 12h00

  Table ronde
  - Organisation, acculturation et plateformes intégrées : réussir la transition sur ces 3 axes
  - Comment faire travailler CDO, DSI et métiers main dans la main ? Quels rôles déployer au sein de l’entreprise, avec quelles responsabilités ?

  €

  • 
    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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• Cybersécurité et Big Data

  12h00 - 12h20

  VIDEO CONFERENCE

  €

  • 
    Patrice BIGEARD Délégué Sécurité du numérique Région Ile de France ANSSI

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• Les principes clés d'une stratégie Big Data & Analytics moderne

  12h20 - 12h40

  Keynote

  €

  • 
    Johan PICARD Data Analytics Practice Lead GOOGLE CLOUD FRANCE

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• Pause déjeuner

  12h40 - 14h00

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• BIG DATA - Salle de conférences 1
• Parcours retours d’expérience Marketing BtoC

• Full Pass Premium

  Full Pass Digital

• Comment ManoMano améliore en permanence son site internet en vue de satisfaire son visitorat grâce aux A/B tests et au Big Data

  14h00 - 14h20

  - Retour sur les best practices et les écueils à éviter dans la réalisation d’A/B tests
  - Retour sur les améliorations mises en place à la suite de l’A/B testing
  - Comment mesurer et interpréter ces chiffres : mise à disposition de la donnée pour les métiers et les collaborateurs 

  €

  • 
    Charles GODDET Business Data Analyst MANOMANO

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• Comment Sarenza optimise ses cas d’usages marketing grâce à la migration de sa plateforme data vers le cloud

  14h20 - 14h40

  - Comment réduire le time to market des données critiques lors des soldes ?
  - Moteur de recommandation, pricing, détection de fraude, prévision des retours clients : retour sur les principaux cas d’usages marketing
  - Comment démocratiser l'accès à la donnée : formation des métiers au sein d'une cellule Data Business, faciliter l'accès à plus de 500 datasources en  Self Service pour le business et les partenaires
   

  €

  • 
    Romain MARRET Responsable Data et Architecte Big Data SARENZA
  • 
    Olivier GIRARDOT Head of Data MALT.COM

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• Big Data et R&D : retour sur le déploiement d’un data lake permettant à l’Oréal d’accélérer ses efforts dans la recherche et le développement

  14h40 - 15h00

  - Traitement de plus de 50 millions de données quotidiennes à la Recherche & Innovation (R&I) de L'Oréal
  - Comment la Recherche & Innovation de L'Oréal s'appuie sur un data lake gouverné en environnement Cloud pour recueillir, protéger, et partager les données de recherche depuis l'innovation produit jusqu'à l'évaluation consommateur
  - Comment donner aux utilisateurs business un accès autonome et rapide à des données de qualité pour garantir la confiance

  €

  • 
    Philippe BENIVAY IS Experimental Data Intelligence L'OREAL

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• Comment la Société Générale optimise le parcours client de bout en bout et propose une expérience omnicanale ?

  15h00 - 15h20

  - Comment l'usage du Big Data permet de réconcilier l'ensemble des canaux au niveau client
  - L'analyse comportementale : de l'identification des points de rupture à la détection des opportunités de rebonds marketing

  €

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

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• Améliorer la satisfaction client grâce à l’analyse de la Voix du Client

  15h20 - 15h40

  Comment diminuer l’attrition et favoriser le réengagement client grâce à l’analyse sémantique des verbatims clients multi-sources

  €

  • 
    François Régis CHAUMARTIN CEO PROXEM
  • 
    Robin DOREMUS Chargé d'Etude Satisfaction Clients ENGIE

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• Pause networking

  15h40 - 16h20

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• Club Med : implémenter un datalake au service d'une stratégie client 360

  16h20 - 16h40

  Club Med décryptera la mise en place de son plan de transformation data, parlant des enseignements tech & métiers
  - Volet technologique : hybridation des méthodes gradient boosting, deep learning et modèles bayésiens. Retour sur le déploiement d'algorithmes qui ont permis d'identifier des patterns dans les parcours clients
  - Le projet en quelques chiffres : 14 milliards de scores calculés chaque jour, +50 variables utilisées dans les modèles, 5 mois du cadrage à l'industrialisation.

  €

  • 
    Mathieu CHOUX Partner EKIMETRICS
  • 
    Barbara VANDEPUTTE Head of Customer & Business Intelligence Monde CLUB MED

  {"date":"2020-09-14","from_time":"16:20:00","to_time":"16:40:00","title":"Club Med : impl\u00e9menter un datalake au service d\u0027une strat\u00e9gie client 360","format":"","content":"\u003Cp\u003EClub Med d\u0026eacute;cryptera la mise en place de son plan de transformation data, parlant des enseignements tech \u0026amp; m\u0026eacute;tiers\u003Cbr \/\u003E\r\n- Volet technologique : hybridation des m\u0026eacute;thodes gradient boosting, deep learning et mod\u0026egrave;les bay\u0026eacute;siens. Retour sur le d\u0026eacute;ploiement d\u0026#39;algorithmes qui ont permis d\u0026#39;identifier des patterns dans les parcours clients\u003Cbr \/\u003E\r\n- Le projet en quelques chiffres : 14 milliards de scores calcul\u0026eacute;s chaque jour, +50 variables utilis\u0026eacute;es dans les mod\u0026egrave;les, 5 mois du cadrage \u0026agrave; l\u0026#39;industrialisation.\u003C\/p\u003E","streaming_url":"https:\/\/www.creacast.com\/play.php?su=videlio-bigdata-ch1","streaming_type":"videlio","is_waiting_stream":0,"replay_url":"https:\/\/www.creacast.com\/play.php?su=videlio-bigdata-vod\u0026furl=videlio-plessis-vod\/bigdata\/salleBIGCONF1\/553.mp4","replay_type":"videlio","cover_image":"https:\/\/exchange.corp-agency.com\/storage\/events\/7\/conferences\/conf-big.jpg","slides_file":"","is_free":0,"related_conference_room_id":38,"related_conference_type_id":17,"related_categories":["Transformation Digitale et Projets","Plateforme et Infrastructures","Relation Client et retours d\u0027exp\u00e9rience","R\u00e9seaux neuronaux et technologies visuelles"],"related_speakers_id":["493","503"],"related_brands_id":[],"tags":["Deep learning","Transformation digitale","Parcours client","Data Lakes"],"track":null,"trackColor":null,"id":"553","related_brands":null} Voir en détail

• Le Big Data au service de la force de vente : comment le Machine Learning et la datascience permettent à Pernod Ricard d’allier efficience opérationnelle et optimisation des activités commerciales

  16h40 - 17h00

  - Retour sur le développement d’une application d’analyse du marché CHR (section café, hôtels et restaurants) ayant pour but d’affiner la connaissance client
  - Application d’un modelé de scoring, segmentation du marché : comment permettre aux forces de vente de cibler les zones d’actions prioritaires
  -Valorisation de la donnée : évolution des usages métiers grâce à la mise à disposition des informations en temps réel, identification des poches de prospection grâce à l'analyse cartographique…

  €

  • 
    Romain GAUTHIER BI & Data Solutions Manager PERNOD RICARD

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• Carrefour Drive : retour sur la mise en place d’un moteur permettant de suggérer aux consommateurs des produits de substitution

  17h00 - 17h20

  - Temps réel, Machine Learning, exploitation de données structurées et non structurées : comment l’usage du Big Data permet d’offrir un service personnalisé tout en améliorant les performances de ventes ; plus de 70% des propositions de substitutions acceptées
  - Retour sur les cas d’usages de la substitution : supply pour report de commande, proposition de substitution en magasin en cas de rupture promo, aide au picking lors de la préparation des commandes drive.

  €

  • 
    Sylvain BELLIER Executive Vice-President EPSILON FRANCE
  • 
    Sylvain MARSAULT Director Data Science & Data Governance CARREFOUR

  {"date":"2020-09-14","from_time":"17:00:00","to_time":"17:20:00","title":"Carrefour Drive : retour sur la mise en place d\u2019un moteur permettant de sugg\u00e9rer aux consommateurs des produits de substitution","format":"","content":"\u003Cp\u003E- Temps r\u0026eacute;el, Machine Learning, exploitation de donn\u0026eacute;es structur\u0026eacute;es et non structur\u0026eacute;es : comment l\u0026rsquo;usage du Big Data permet d\u0026rsquo;offrir un service personnalis\u0026eacute; tout en am\u0026eacute;liorant les performances de ventes ; plus de 70% des propositions de substitutions accept\u0026eacute;es\u003Cbr \/\u003E\r\n- Retour sur les cas d\u0026rsquo;usages de la substitution : supply pour report de commande, proposition de substitution en magasin en cas de rupture promo, aide au picking lors de la pr\u0026eacute;paration des commandes drive.\u003C\/p\u003E","streaming_url":"https:\/\/www.creacast.com\/play.php?su=videlio-bigdata-ch1","streaming_type":"videlio","is_waiting_stream":0,"replay_url":"https:\/\/www.creacast.com\/play.php?su=videlio-bigdata-vod\u0026furl=videlio-plessis-vod\/bigdata\/salleBIGCONF1\/555.mp4","replay_type":"videlio","cover_image":"https:\/\/exchange.corp-agency.com\/storage\/events\/7\/conferences\/conf-big.jpg","slides_file":"https:\/\/exchange.corp-agency.com\/storage\/events\/7\/conferences\/555\/slides.pdf","is_free":0,"related_conference_room_id":38,"related_conference_type_id":17,"related_categories":["Analyse Predictive et Apprentissage automatique","Relation Client et retours d\u0027exp\u00e9rience"],"related_speakers_id":["489","499"],"related_brands_id":[],"tags":["Machine learning","Experience client","Temps r\u00e9el"],"track":null,"trackColor":null,"id":"555","related_brands":null} Voir en détail

• Thales : Key success factors for a secured AI revolution

  17h20 - 17h40

  - Comment aborder la transformation digitale et l'intelligence artificielle en toute sécurité 
  - Comment gérer des cyberattaques (IA contre IA) 
  Avec plus de 80 data scientist et plus de 40 serveurs GPU, Juan David partagera quelques insights et bonnes pratiques à adopter  

  €

  • 
    Juan David DUGAND AI Innovation Director THALES

  {"date":"2020-09-14","from_time":"17:20:00","to_time":"17:40:00","title":"Thales : Key success factors for a secured AI revolution","format":"","content":"\u003Cp\u003E- Comment aborder la transformation digitale et l\u0026#39;intelligence artificielle en toute s\u0026eacute;curit\u0026eacute;\u0026nbsp;\u003Cbr \/\u003E\r\n- Comment g\u0026eacute;rer des cyberattaques (IA contre IA)\u0026nbsp;\u003Cbr \/\u003E\r\nAvec plus de 80 data scientist et plus de 40 serveurs GPU, Juan David partagera quelques insights et bonnes pratiques \u0026agrave; adopter \u0026nbsp;\u003C\/p\u003E","streaming_url":"https:\/\/www.creacast.com\/play.php?su=videlio-bigdata-ch1","streaming_type":"videlio","is_waiting_stream":0,"replay_url":"https:\/\/www.creacast.com\/play.php?su=videlio-bigdata-vod\u0026furl=videlio-plessis-vod\/bigdata\/salleBIGCONF1\/1113.mp4","replay_type":"videlio","cover_image":"https:\/\/exchange.corp-agency.com\/storage\/events\/7\/conferences\/conf-big.jpg","slides_file":"https:\/\/exchange.corp-agency.com\/storage\/events\/7\/conferences\/1113\/slides.pdf","is_free":0,"related_conference_room_id":38,"related_conference_type_id":17,"related_categories":[],"related_speakers_id":["596"],"related_brands_id":[],"tags":[],"track":null,"trackColor":null,"id":"1113","related_brands":null} Voir en détail