15 mai 2017

Big Data and smart cities : the sacred union

The figures speak for themselves : today, 54 % of the population live in urban area. In 2050, more than 65 % of the world’s population will live in towns. Therefore, urban issues will be equally amplified : cities will have to answer the questions of mobility, energetics efficiency, urban sprawl, quality of life. The increasing digitalization of all the activities makes cities act as data provider sources. Transportation, energy, interactions, trade, all these flows generate enormous mass of information. The technological... [Lire la suite]
Posté par Nina Legras à 15:20 - - Commentaires [0] - Permalien [#]
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15 mai 2017

Big Data the formidable weapon on digital retail

Data is everywhere especially in E-commerce. Big Data is now a tremendous springboard to personalize the customer relationship. Amazon is the first one which has invested in Big Data. The IT colossus and the associated services have considerably changed the environment of the French distribution but also at a worlwide level too : considering the prices competition, the Internet trafic, the customer behavior, the supply chain optimization …Amazon is the undisputed leader in the dynamic pricing gestion and the supply chain. ... [Lire la suite]
Posté par Nina Legras à 15:20 - - Commentaires [0] - Permalien [#]
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10 mai 2017

Data collection, a major issue for French smart cities

In a report given to the Prime Minister on Tuesday, April 18, PS Maine-et-Loire MP Luc Belot draws attention to the risks and stakes of the smart city, knowing that the digital boom requires reforming local governance . "The use of technologies does not in itself create a smart city," warns Luc Belot (MP), who is carrying a mission on the smart city that the government entrusted to him in November 2016. In his report "From Smart City to a Territory of Intelligence (s) "on Tuesday, April 18, sent to Prime Minister Bernard Cazeneuve,... [Lire la suite]
25 avril 2017

What are the examples of successful Big Data projects in banking and insurance?

Future of IT: Bank and insurance are well equipped to take full advantage of Big Data: data, their servers are full of them ... Improved responsiveness, customer loyalty, customization of offers, Fraud ... What concrete benefits can be derived? The banking and insurance sectors will not be the poor parents of Big Data. According to an IDC study, French companies could benefit from an "additional value potential" of 54 billion euros in 4 years, and the financial sector could benefit from 20% of this windfall (second step of the... [Lire la suite]
Posté par Nina Legras à 15:13 - - Commentaires [0] - Permalien [#]
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08 mars 2017

Interconnectivity and the IoT revolution

A global network of interconnected devices linked to the internet is about to revolutionise the way we live and work today Interconnectivity changes things. You can control the temperature in your house while sitting in an airport. Your car can update the maps for its navigation system while sitting in your garage. You can monitor the water levels of rivers in Oxfordshire or reservoirs in California from your couch. You can see pollution levels in the biggest cities in China or Europe on your smartphone. This opens up the... [Lire la suite]
24 janvier 2017

Smart cities, a key passeport for tourism

There is not only one Big Data of Smart City but several ones. Most of the urban operators have already or are going to launch Big Data projects thanks to the flow of collected information. Smart tourism is booming today : major touristic cities all around the world use digital to boost their attractivity. Paris&Co, the economic development agency of the French capital, encourages all these technologies to facilitate the orientation of the tourists in the French capital. Smart city connects the whole town to foreign tourists... [Lire la suite]

24 janvier 2017

Water and Big Data: an alliance which should flow

The UN water report, published in 2015, is alarming: before 2030, the worldwide resource shortage of water (all consumptions included) would achieve 40 %. For companies and water managers of the networks of drinking water, the issues are highly critical: it is about to manage intelligently water ressources, fighting against the waste and water losses. It is one of the biggest challenges for Big Data today: shifting from an intuitive management of water resources to a scientific one in real time. Thanks to GPS, to sensors' networks,... [Lire la suite]
24 janvier 2017

Big Data, the oil of the road transport

Data recording in transport vehicles has been coming on for a while: already in 1920, there was an embedded named device clock Aurorex capable to collect data during driving and rest times! The ancestor of Big Data of the 21th century. Today, a unique vehicle can be equiped with hundreds of sensors. So, in the United States, US XPRESS installed 1 000 sensors in every truck. Permanently connected to the computer system of the operator, the sensors offer an infinite amount of information: driving time, of rest, energy consumption,... [Lire la suite]
Posté par Nina Legras à 10:57 - - Commentaires [0] - Permalien [#]
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18 janvier 2017

Francis Pisani Essay on Smart Cities

Smart Cities between Datapolis and Participolis When it comes to the near future of Humans on Earth, the future that our children will experience - and this is the subject of this essay - literature is obviously speculative and readily theoretical. Francis Pisani avoids this double trap with ease, which is what makes his work quite fascinating. How is it ? These intelligent cities in which several billion people will live one day, he saw the first, embryonic or already formed, in China, India, Asia, Latin America and Europe. As a... [Lire la suite]
Posté par Nina Legras à 14:25 - - Commentaires [0] - Permalien [#]
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18 janvier 2017

Big Data, secret agent (or not) of the insurances

In the area of insurance, where data have always been the raw material to forecast and anticipate the risks, the advantage of Big Data is undisputable. Objective: know the customer as precisely as possible to price him the right insurance product the most adapted to his needs. But, among the internal data of the customer portofolio, the semipublic data, the partners’s data and the personnal information collected (by sensors, smart box, internet surfing and home automation, etc...), the insurer can quickly find himself flooded in a... [Lire la suite]