Data science is evolving quickly. The surge of interest of the business world for Big Data evolved into more specific interests for new forms of business intelligence, for new practices in personalized web marketing and services, for new relationships to e-reputation and social networks. At the same time data science centers are also developing in academic research.
But progress of research in computational statistic, machine learning, information retrieval, computer vision, natural language processing and related fields is steady. Deep learning has had a tremendous impact on computer vision and speech processing and starts changing practices in many other imaging fields. New developments in distributional semantics created shifts in language processing and information retrieval. Large strides in distributed and online optimization or the use of new dedicated hardware for deep learning are changing in many applications the computational possibilities for massive data analysis.
Clearly, a number of difficulties remain common to many endeavors in data science: how to leverage efficiently existing publicly available data? How to coordinate the complex efforts of deployment of new sensors and of integration of new sources of data into new predictive analytic schemes? How should the progress in data science change our perspective on connected devices and the internet of things? What is the role data science can play to improve the way we understand and manage our environment, our cities, our energy resources, our pollution, our public services? What type of interactions will data science allow in virtual personal assistants, connected homes, brain computer interfaces?
This one day colloquium aims at gathering experts to offer a broad view on a few of the perspectives and challenges that lie ahead.
|François Bancilhon||CEO of Data Publica|
|François Yvon||Spoken Language Processing team, LIMSI-CNRS|
|Pierre-Paul Vidal||Neuroscientist, Head of COGNAC-G, Université Paris 5|
|Yannig Goude||EDF R&D, Osiris dpt.|
|Vivien Mallet||Clime team, INRIA|
|Alexandre Gramfort||CNRS LTCI, Télécom ParisTech|
|Josef Sivic||Willow team, INRIA|
Registration is free but mandatory for all participants to guarantee access to the event and a possibility to have lunch on site.
The event will take place at Ecole des Ponts - ParisTech on the campus of Université Paris-Est Marne-la-Vallée (RER A station Noisy-Champs), in Amphi Caquot, Coriolis building. Detailed directions to the colloquium will be available soon on this page.
|Mohammed El Rhabi||Academic Director of the Maths and CS Engineering department, Ecole des Ponts - ParisTech.|
|Guillaume Obozinski||Researcher in machine learning, Equipe Imagine A3SI, LIGM Ecole des Ponts - ParisTech.|