BigDataFr recommande : L’Europe, nain de l’intelligence artificielle La décision de taxer ou non les géants du Net ne sera connue que le 29 septembre, à l’occasion du sommet numérique de Tallinn, en Estonie. On verra ce jour-là si les 28 pays de l’Union européenne suivent le souhait déjà annoncé par le ministre français de […]
Innovation
[Machinelearnings .co] BigDataFr recommends: Why AI Companies Can’t Be Lean Startups
BigDataFr recommends: Why AI Companies Can’t Be Lean Startups […] Today it’s impossible to read business news without seeing some mention of artificial intelligence. Recent breakthroughs in machine learning and AI have unleashed a host of new experiences that can be delivered to customers, and companies both large and small look to capitalize. Large companies […]
[L’Usine Digitale] BigDataFr recommande : « Signal in the noise », ou comment réagir sur les comportements clients en réalité virtuelle et augmentée
BigDataFr recommande: « Signal in the noise », ou comment réagir sur les comportements clients en réalité virtuelle et augmentée […] Et si la réalité virtuelle (et augmentée) et le machine learning s’appliquaient aussi au pilotage des données clients en temps réel ? C’est ce qu’a souhaité démontrer Hybris Labs, la cellule innovation de SAP, à l’occasion […]
[HAL] BigDataFr recommends: Random Forests for Big Data
BigDataFr recommends: Random Forests for Big Data Abstract […] Big Data is one of the major challenges of statistical science and has numerous consequences from algorithmic and theoretical viewpoints. Big Data always involve massive data but they also often include online data and data heterogeneity. Recently some statistical methods have been adapted to process Big […]
[Dataconomy] BigDataFr recommends: Securing Competitive Advantage with Machine Learning
BigDataFr recommends: Securing Competitive Advantage with Machine Learning […] Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages. Digitalization and the introduction of machine learning into […]
[Forbes France] BigDataFr recommande : Pourquoi Le Commerce “Physique” Pourrait Reprendre La Main
BigDataFr recommande : Pourquoi Le Commerce “Physique” Pourrait Reprendre La Main […] La révolution du web a clairement entraîné de profonds changements chez les acheteurs et de facto chez ceux qui sont donc devenus des e-commerçants. Toutefois, suite à la frénésie du tout digital des premières années, la donne est en train de changer vers […]
[Forbes] BigDataFr recommends: How Can Smaller Retailers Fight Amazon’s Growth? The Answer Is AI And Personalization
BigDataFr recommends: How Can Smaller Retailers Fight Amazon’s Growth? The Answer Is AI And Personalization […]The volatile condition of small American retail is no longer a secret. 43% of all U.S. online sales — amounting to $136B — were through Amazon in 2016, a 10% increase over 2015. The U.S. Department of Commerce confirmed that […]
[Dataconomy] BigDataFr recommends: AI – The Present in the Making
BigDataFr recommends: AI – The Present in the Making […] For many people, the concept of Artificial Intelligence (AI) is a thing of the future. It is the technology that is yet to be introduced. But Professor Jon Oberlander disagrees. He was quick to point out that AI is not in the future, it is […]
[Les Echos] BigDataFr recommande : Bpifrance favorise la relation entre start-up et grands groupes
BigDataFr recommande : Bpifrance favorise la relation entre start-up et grands groupes A sa manière, Paul-François Fournier, directeur exécutif innovation de bpifrance, résume le bien-fondé du programme du Hub qui dévoile ce mercredi ses 25 nouveaux pensionnaires : « Notre système fonctionnera si nous augmentons le nombre de liens entre les grands groupes et les […]
[HAL] BigDataFr recommends: Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC systems
BigDataFr recommends: Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC systems Abstract […] Burst Buffer is an effective solution for reducing the data transfer time and the I/O interference in HPC systems. Extending Burst Buffers (BBs) to handle Big Data applications is challenging because BBs must account for the large […]