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127 search results for: Big Data

11

Data sharing: an important issue for the agricultural sector

Agriculture is among the sectors most affected by digital transition, given the amount of data it possesses. But for the industry to benefit from its full potential, it must be able to find a sound business model for sharing this data. Anne-Sophie Taillandier, the Director of TeraLab — IMT’s big data and AI platform — […]

12

TeraLab: data specialists serving companies

TeraLab is a Big Data and artificial intelligence platform that grants companies access to a whole ecosystem of specialists in these fields. The aim is to remove the scientific and technological barriers facing organizations that want to make use of their data. Hosted by IMT, TeraLab is one of the technology platforms proposed by the […]

13

From personal data to artificial intelligence: who benefits from our clicking?

Clicking, liking, sharing: all of our digital activities produce data. This information, which is collected and monetized by big digital information platforms, is on its way to becoming the virtual black gold of the 21st century. Have we all become digital workers? Digital labor specialist and Télécom ParisTech researcher Antonio Casilli has recently published a […]

14

Data-mobility or the art of modeling travel patterns

The major rail workers’ strike in France on the spring of 2018 transformed French travel habits, especially in the Ile-de-France region. Vincent Gauthier, a researcher at Télécom SudParis, is working to understand the travel patterns in this region and around the world using mobile data. [divider style=”normal” top=”20″ bottom=”20″] The original version of this article […]

15

TeraLab, a European data sanctuary

Over the course of three months, TeraLab was involved in two European H2020 projects on the industry of the future: MIDIH and BOOST 4.0. This confirms the role played by TeraLab—IMT’s big data and artificial intelligence platform—as a trusted third party and facilitator of experimentation. TeraLab created a safe place for these projects, far from […]

16

Is anonymized data of any value?

Anonymization is still sometimes criticized as a practice that supposedly makes data worthless, as it deletes important information. The CNIL decided to prove the contrary through the Cabanon project conducted in 2017. It received assistance from the IMT big data platform, TeraLab, for anonymizing the data of New York taxis and showing the possibility of […]

17

Can digital social innovations tackle big challenges?

Müge Ozman, Télécom École de Management – Institut Mines-Télécom [divider style=”normal” top=”20″ bottom=”20″] [dropcap]D[/dropcap]igital social innovations (DSI) are booming in Europe, empowering people to solve problems in areas as diverse as social inclusion, health, democracy, education, migration and sustainability. Examples include civic tech, neighbourhood-regeneration platforms, collaborative map-making, civic crowdfunding, peer-to-peer education and online time banks. […]

18

What are the applications for spatial data?

Several terabytes: this is the phenomenal amount of data produced by the Sentinel satellites each day! How can these data flows be used to develop concrete applications to be used by those who manage territories? This is what spatial application experts focused on at the AppSpace Forum, an event organized by the CNES, GIS BreTel, […]

19

Sébastien Bigo: setting high-speed records

Driven by his desire to take the performance of fiber optics to the next level, Sébastien Bigo has revolutionized the world of telecommunications. His work carried out at Nokia Bell Labs has now set nearly 30 world records for the bandwidth and distance of optical communications. Some examples: the first communication transmitted at a rate […]

20

Invenis: machine learning for non-expert data users

Invenis went into incubation at Station F at the beginning of July, and has since been developing at full throttle. This start-up has managed to make a name for itself in the highly competitive sector of decision support solutions using data analysis. Its strength? Providing easy-to-use software aimed at non-expert users, which processes data using […]