BigDataFr recommends: What enterprise-technology companies must know to drive digital-sales growth […] Over the past few years, many B2B companies have taken a cue from their B2C counterparts by increasing their investment in digital sales. But most have achieved limited bottom-line impact, with expected gains failing to materialize or falling far below expectations. Often, the […]
Author: Big Data
[Recrutement] Ne manquez pas le Salon Les Ingénieurs et La Finance – 16 oct 2017 a Paris @AgefiEmploi – Inscrivez-vous !
Le seul événement de Recrutement en Finance entièrement dédié aux Ingénieurs. Rendez-vous le 16 octobre prochain de 14h à 18h au Centre Étoile Saint-Honoré, Paris 8ème. Pour sa 4ème édition, le Salon confirme sa position d’événement incontournable des carrières d’Ingénieurs dans le secteur de la finance. Que vous soyez Jeune Cadre ou Expérimenté à la […]
[Datasciencecentral] BigDataFr recommends: Data Analytics in Banking
BigDataFr recommends: Data Analytics in Banking […] Banking is getting branch-less, contemporary and digital at a very fast pace. As banks compete to gain competitive advantage, the need for managing big data and analytics becomes more relevant. Big Data has transformed the way traditional banks worked in the past and has been very helpful in […]
[L’Usine Digitale] BigDataFr recommande : Robert Half révèle les métiers du numérique qui vont gagner plus en 2018… et les autres
BigDataFr recommande: Robert Half révèle les métiers du numérique qui vont gagner plus en 2018… et les autres […] Le cabinet de recrutement Robert Half publie une étude sur les salaires. Cette dernière n’est pas exhaustive, puisqu’elle se concentre sur les métiers où l’entreprise est présente et ignore par exemple les métiers des cadres de […]
[Forbes] BigDataFr recommends: Successful Big Data Initiatives Live At The Intersection Of Insight And Compliance
BigDataFr recommends: Successful Big Data Initiatives Live At The Intersection Of Insight And Compliance […]If you go to technology conferences, you hear the same discussions around data. If you ask about how to glean insight from the massive amount of data you’re collecting or you want to use your data to provide actionable intelligence, make […]
[JDN] BigDataFr recommande : Data center : 3 tendances pour se renouveler
BigDataFr recommande: Data center : 3 tendances pour se renouveler […] Le cloud offre des avantages financiers attractifs comparé aux data centers. Pour faire face à la migration massive vers un cloud public, ces derniers n’ont donc pas d’autre choix que de se renouveler. #1 Le cloud public : le (mauvais) réflexe Aujourd’hui, les clients […]
[Dataconomy] BigDataFr recommends: The Rise of the Fintechpreneur, and Why It Matters
BigDataFr recommends: The Rise of the Fintechpreneur, and Why It Matters […]The financial technology field is rapidly expanding, but remains in flux and continues to be unpredictable. Fintech’s use of AI, algorithms, and modern technologies can transform traditional banking, but still faces some resistance. Some fintech companies are finding billion-dollar markets in the gaps left […]
[HAL] BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering Vision Paper
BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering Vision Paper Abstract […] The conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mo-bilisation of companies into adopting it becomes increasingly important. Big data integration projects enable companies to capture their relevant data, to efficiently store […]
[Devenir #Data Scientist à Paris @iutvtweet] : Mardi 17 oct – 14h30, venez découvrir le DU Scala Data Analyst @univ_paris13
#Data Scientist à Paris : Mardi 17 octobre 2017 – 14h30, venez découvrir le DU Scala Data Analyst de l’IUT Villetaneuse – Lieu de la Réunion : IUT de Villetaneuse, Amphi Gauche. Début des cours : dès janvier 2018. Seulement 20 places disponibles ! Ne manquez pas la réunion d’information. Réunion d’information : se rendre […]
[arXiv] BigDataFr recommends: Statistical Challenges of Big Brain Network Data
BigDataFr recommends: Statistical Challenges of Big Brain Network Data […] Subjects: Neurons and Cognition (q-bio.NC); Methodology (stat.ME) We explore the main characteristics of big brain network data that offer unique statistical challenges. The brain networks are biologically expected to be both sparse and hierarchical. Such unique characterizations put specific topological constraints onto statistical approaches and […]