{"id":30291,"date":"2019-02-28T08:30:32","date_gmt":"2019-02-28T07:30:32","guid":{"rendered":"https:\/\/visionarymarketing.com\/?p=30291"},"modified":"2022-03-01T15:05:21","modified_gmt":"2022-03-01T14:05:21","slug":"salon-big-data-2019","status":"publish","type":"post","link":"https:\/\/visionarymarketing.com\/fr\/2019\/02\/28\/salon-big-data-2019\/","title":{"rendered":"Big data et IA au service de la finance au salon @BigDataparis"},"content":{"rendered":"

\"salon\u00c0 l\u2019occasion du <\/i>salon Big Data<\/a> qui a lieu \u00e0 Paris les 11 et 12 mars Prochain, et dont\u00a0Visionary Marketing est partenaire m\u00e9dia \u00e0 nouveau cette ann\u00e9e, nous avons pu nous entretenir avec Mikael Le Bars<\/i>, expert en Intelligence Artificielle chez 89C3R.\u00a0<\/em><\/p>\n

89C3R c’est la \u00ab\u00a0digital factory\u00a0\u00bb de Natixis.
\nCette entit\u00e9 situ\u00e9e au coeur de la DSI regroupe diverses \u00e9quipes d’experts sp\u00e9cialis\u00e9es dans diff\u00e9rents domaines notamment de la blockchain, l’intelligence artificielle, le big data ou encore la robotique. Ce laboratoire localis\u00e9 au coeur de Paris a pour r\u00f4le d’accompagner les m\u00e9tiers de la banque et de l’assurance dans les solutions li\u00e9es \u00e0 la transformation digitale.<\/p>\n

Mikael Le Bars fait partie de l’\u00e9quipe Intelligence Artificielle & Big Data de 89C3R. Ses missions portent notamment sur l’exploitation des data lakes de Natixis et du Groupe BPCE.<\/p>\n

Le mod\u00e8le sur lequel Mikael et l\u2019\u00e9quipe BGC Financements travaillent depuis fin novembre concerne la gestion des financements aux entreprises.\u00a0Il est pens\u00e9 comme une aide \u00e0 la gestion<\/strong> plut\u00f4t qu’un module autonome et devra permettre d’assister les \u00e9quipes dans la prise de d\u00e9cision.<\/p>\n

Cette assistance se mat\u00e9rialise dans l’anticipation et la d\u00e9tection les actions qui m\u00e9riteraient d’\u00eatre entreprises en priorit\u00e9.\u00a0<\/strong>Afin de s\u2019y retrouver dans\u00a0la <\/span>volum\u00e9trie <\/span>de dossiers, cet algorithme <\/span>devra permettre de mettre en avant les dossiers \u00e0 g\u00e9rer en priorit\u00e9, d\u00e8s le d\u00e9but de chaque mois<\/span>, via une visualisation sous forme de calendrier avec des journ\u00e9e color\u00e9e en fonction du nombre de dossiers qui n\u00e9cessitent une attention particuli\u00e8re.<\/span><\/p>\n

<\/p>\n

Comment con\u00e7oit-on un algorithme comme celui-l\u00e0\u00a0?<\/strong><\/h3>\n

La conception d\u2019un tel algorithme repose sur beaucoup d’it\u00e9rations, c\u2019est-\u00e0-dire de r\u00e9p\u00e9titions du processus, notamment pour s\u2019assurer de bien faire le lien entre les donn\u00e9es, le mod\u00e8le et le processus de gestion.<\/span><\/p>\n

\"Salon
Les bureaux de 89C3 lors de notre visite<\/figcaption><\/figure>\n

La premi\u00e8re \u00e9tape a consist\u00e9 \u00e0 d\u00e9crire et organiser la base de donn\u00e9es en fonction des besoins du projet.\u00a0Des mod\u00e8les ont \u00e9t\u00e9 r\u00e9alis\u00e9s \u00e0 partir des data sets, et l’\u00e9tude des premiers r\u00e9sultats a permis de v\u00e9rifier la pertinence des variables mises en avant par le mod\u00e8le.\u00a0Il a fallu r\u00e9it\u00e9rer plusieurs fois l’exercice pour \u00e9liminer certaines variables.<\/p>\n

Parall\u00e8lement il a fallu adapter l’environnement big data pour pouvoir utiliser les librairies n\u00e9cessaires, tout en tenant compte des contraintes de s\u00e9curit\u00e9 inh\u00e9rentes au domaine bancaire.<\/p>\n

Enfin, une collaboration avec la soci\u00e9t\u00e9 Indexima<\/a>\u00a0a permis de faciliter la visualisation de ces donn\u00e9es en environnement Big Data.<\/p>\n

Quelle utilisation en milieu bancaire ?<\/strong><\/h3>\n

\"salonPour que les donn\u00e9es soient pleinement exploitables, il est ensuite n\u00e9cessaire d\u2019allier cet algorithme \u00e0 des outils de data visualisation<\/a>.<\/p>\n

Cet algorithme sera utilis\u00e9 au travers de la solution de visualisation Tableau.<\/a> On peut imaginer que si des utilisateurs <\/span>voulaient utiliser le mod\u00e8le dans un contexte autre que cette visualisation, les \u00e9quipes pourraient <\/span>le mettre \u00e0 disposition via une API\u00a0.<\/span><\/p>\n

En l’\u00e9tat actuel, l’algorithme brasse un volume consid\u00e9rable de donn\u00e9es et l’objectif du mod\u00e8le est de pouvoir, avec ce logiciel de visualisation, faire abstraction de toutes ces donn\u00e9es brutes et fournir une synth\u00e8se qui donne, d’un rapide coup d’\u0153il, une vision des dossiers \u00e0 g\u00e9rer.<\/p>\n

En fin de compte, seul l’expert du back-office sera \u00e0 m\u00eame de juger si ce qui a \u00e9t\u00e9 pr\u00e9dit par le mod\u00e8le \u00e9tait effectivement pertinent ou non.\u00a0On ne peut en effet pas \u00eatre s\u00fbr \u00e0 100% que la pr\u00e9diction soit correcte, l’avis de l’expert sera toujours primordial<\/strong>.<\/p>\n

Cet algorithme a-t-il des opportunit\u00e9s d’auto apprentissage\u00a0?<\/strong><\/h3>\n

Pour l’instant le mod\u00e8le a \u00e9t\u00e9 pens\u00e9 comme une brique dans un ensemble d’outils : outils de mod\u00e9lisation, de visualisation du mod\u00e8le, l\u2019environnement big data etc.<\/p>\n

\"\"<\/p>\n

Actuellement, il est en phase d’exp\u00e9rimentation. C\u2019est pourquoi,<\/span> la mise \u00e0 jour du mod\u00e8le n\u2019est pas automatis\u00e9e, mais il est concevable dans le futur de d\u00e9velopper ses capacit\u00e9s d\u2019apprentissage continu.<\/p>\n

L’objectif du projet,<\/strong> en plus de permettre \u00e0 l\u2019\u00e9quipe d\u2019\u00e9voluer en data science, est de montrer qu\u2019il est possible d\u2019utiliser des donn\u00e9es du back-office pour aller au-del\u00e0 de la simple business intelligence et pour aller vers de la mod\u00e9lisation data-science, qui permette de passer \u00e0 un mod\u00e8le d\u00e9ductif, bas\u00e9 sur les donn\u00e9es du pass\u00e9, \u00e0 un mod\u00e8le pr\u00e9dictif.<\/p>\n

Si ce mod\u00e8le se r\u00e9v\u00e8le pertinent, d’autres d\u00e9veloppements possibles seront certainement r\u00e9alis\u00e9s en collaboration avec les m\u00e9tiers.<\/p>\n

Mikael sera pr\u00e9sent au salon big data les 11 et 12 mars prochain au palais des congr\u00e8s et animera une conf\u00e9rence sur le th\u00e8me de la data science pour optimiser les activit\u00e9s de back office,\u00a0<\/span><\/a>ne ratez pas cet \u00e9v\u00e9nement qui vous permettra d’approfondir ce sujet passionnant.<\/em><\/p>\n

\"\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u00c0 l\u2019occasion du salon Big Data qui a lieu \u00e0 Paris les 11 et 12 mars Prochain, et dont\u00a0Visionary Marketing est partenaire m\u00e9dia \u00e0 nouveau cette ann\u00e9e, nous avons pu nous entretenir avec Mikael Le Bars, expert en Intelligence Artificielle chez 89C3R.\u00a0 89C3R c’est la \u00ab\u00a0digital factory\u00a0\u00bb de Natixis. Cette entit\u00e9 situ\u00e9e au coeur de …<\/p>\n","protected":false},"author":67,"featured_media":34060,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2894],"tags":[],"class_list":["post-30291","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ia-big-data"],"yoast_head":"\nBig data et IA au service de la finance au salon Big Data Paris<\/title>\n<meta name=\"description\" content=\"\u00c0 l\u2019occasion du salon Big Data qui a lieu \u00e0 Paris les 11 et 12 mars Prochain, et dont\u00a0Visionary Marketing est partenaire m\u00e9dia \u00e0 nouveau cette ann\u00e9e, nous\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/visionarymarketing.com\/fr\/2019\/02\/28\/salon-big-data-2019\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta 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