Equipe RRA au sein du Domaine Data&Digital à la DSI SGDBF
Chez SGDBF depuis 2010, où j’ai participé à la mise en de place de l’ETL ODI.
Après divers projets, j’ai rejoint l’équipe RRA pour la refonte de l’architecture autour de Sinequa en 2018.
Equipe RRA au sein du Domaine Data&Digital à la DSI SGDBF
Chez SGDBF depuis 2015, j'ai travaillé à la mise en place d'applications de GED et de dématérialisation jusqu'en 2018, date à laquelle j'ai rejoint l'équipe RRA pour m'occuper du MCO.
Equipe Métier Projet Atlas (refonte SI agence)
Chez SGDBF depuis 2006, j’ai occupé plusieurs fonctions au sein de la DSI puis au Marketing.
J’ai participé à la création de l’enseigne d’intermédiation Homly You.
J’ai ensuite intégré l’équipe Atlas, en charge de la refonte du SI de SGDBF avec pour mission la mise en place métier de Sinequa.
Directeur de l’entité Search. Edouard travaille depuis plus de 10 ans sur des projets de valorisation de l’information non structurée, et intègre la solution Sinequa depuis 2012, en étroite collaboration avec Sinequa. Edouard est garant des engagements de Sword vis-à-vis de ses clients sur le domaine des moteurs de recherche.
Directeur de Projet. Gaël a participé à l’intégration de la solution Sinequa pour Saint-Gobain, Total ou Framatome et notamment sur des problématiques d’indexation de gros volumes de données, de classification de documents et de paramétrage avancé de la pertinence des résultats.
Chef de projet. Florent intervient notamment depuis plus de 7 ans sur des projets informatiques dans le domaine de l’assurance.
CEO, Sinequa
Chargé de mission au sein de la direction Technologie Groupe de Total, je suis passionné par les technologies du Search, NLP (traitement du langage naturelle) et du web sémantique. Mon rôle est de développer les usages autour de ces technologies afin de faciliter l'accès aux connaissances techniques du CTG (Comité Technologie Groupe) et répondre à nos enjeux de Knowledge Management.
Venez vous inspirer de l’expérience d’un des leaders de la distribution professionnelle, afin de comprendre comment les commerciaux Saint Gobain utilisent la recherche intelligente pour :
A l’occasion de cette conférence, nous aurons la chance d’échanger avec Franck Do Orodeia, Chef de Projet Saint Gobain
Découvrez comment l’un des leaders de l’énergie valorise le capital intellectuel de son organisation, et facilite le partage des connaissances des technologues Total.
A l’occasion de cette conférence, nous aurons la chance d’échanger avec Pierre Jallais, Chargé de Mission NLP Technologie Groupe
Groupama présentera la solution mise en œuvre pour rechercher dans les données clients et agréger les données des interactions (mails entrants/sortants, campagnes marketing, appels téléphoniques entrants/sortants) afin de faciliter la compréhension par les commerciaux du contexte d’un dossier
11/4/2020
Pharmaceutical companies need a solution to meet higher patient expectations, more stringent regulatory demands, and extreme pressure from global competition. Trends such as the digitization of healthcare data along with advances in computing power and AI create opportunities to transform operations and harness the forces of changes.
The sessions in this track will help navigate the complex problem and solution landscapes while covering the following topics:
11/4/2020
Establishing a successful digital workplace is no easy feat when you're a globally distributed workforce with tens of thousands of employees. For CSL Behring, employees' ability to surface relevant data is a fundamental part of research and innovation. They quickly discovered that intelligent search is a critical part of this. Join CSL Behring's Jesse Crew and Kartik Tallapragada as they discuss their journey with search, the impact it's had across their organization, and their vision for the future.
11/4/2020
11/5/2020
Pfizer is a large enterprise pharmaceutical company with over 90,000 employees and contractors. Finding information at the right time and place is often difficult, disjointed, and slow. It took a few years, but with several key business cases, a couple of proof of concepts, and some Senior leadership champions, Pfizer made the decision to move from a "keyword" search to an Insight Engine. In this session, Bill will lead us through his journey of selecting a search product, deploying Sinequa to Pfizer, describing his lessons learned and "tales from the inside" as his team launched a new enterprise search experience in May of 2020.
Sinequa surfaces explicit knowledge that otherwise stays hidden in content silos. This ensures researchers and other employees are better informed. Join Sinequa Senior Sales Engineer Gengis Birsen for a demo of Sinequa's platform. He will show an application of the platform aimed at helping life science companies leverage scientific and clinical trial data to improve the discovery and research pipeline.
11/5/2020
As the world has shifted to digital-first seemingly overnight, manufacturers have rapidly transformed their operations and reprioritized their strategies. They're investing in new technology to help automate processes and manage costs. But this doesn't come without its challenges. Learn how industry leaders are getting ahead using intelligent search across their organization.
11/5/2020
11/5/2020
Today's organizations are looking to turn information chaos into discoverable information. Learn how a team at Northrop Grumman united siloed legacy data sources into a platform with popular "LinkedIn-style" social media features -- ensuring that information and expertise can be found at any time.
11/6/2020
Manufacturers need to release new products faster, cheaper with high quality and regulation standards. All along the product lifecycle, key information is produced from the Ideation Process to Manufacturing ending with Commercialization. Accessing all that information quickly and efficiently is key for Engineers (R&D, Quality, Support) to meet these expectations, and this is what we call the "One-stop-shop for Engineer". Join Sommy Boucansaud, Sales Engineer at Sinequa, for a demo on how Sinequa's platform helps manufacturers gain this unified view to improve their manufacturing operations.
11/6/2020
11/6/2020
In this session, Franklin Templeton, the world's 6th largest independent asset manager, will discuss how they use Sinequa find information and insights faster across marketing, sales and, even, M&A.
11/6/2020
Join us at our "Designing for Information Driven Digital Workplaces” session where we will elaborate on how we are crafting successful business solutions using the principles and practices of business design, and developing innovative solutions by taking into account Business Viability, Human Desirability in addition to Technological Feasibility.
11/6/2020
Attend this demo to see how to research and discover investments using a Sinequa-powered digital workplace. Learn how wealth advisors can help their clients from anywhere.
11/6/2020
Sinequa has been rapidly improving our deep learning capabilities in order to deliver the best performance for our customers. In this session, Adrien Gabeur, Director of Cognitive Solutions, will introduce Sinequa's latest advancements in deep learning, search relevance, and natural language processing. You'll also get a sneak peek at the roadmap and the expected benefits for Sinequa customers.
11/6/2020
Sinequa's Search Based Application (SBA) Framework allows organizations to easily build smart, scalable, and secure search applications, all using one single platform. In this session, Eric will explain the key benefits of Sinequa's SBA framework, and introduce some new and future SBA applications.
11/6/2020
Now more than ever, organizations need to build scalable, long-term digital workplace strategies. A big part of this is choosing technology partners that align with their strategies. Sinequa is defining the future of intelligent search and the value that it delivers to leading enterprise organizations. Join Alex Bilger, CEO of Sinequa, as he introduces key drivers for Siequa's roadmap, along with new and upcoming features. Learn about Sinequa's advancements in deep learning, BERT for natural language processing, data enrichment, and much more.
