Risk management

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]

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]

When “everything is becoming digital,” private, public, and civil institutions become more dependent on information systems and more vulnerable to attack by sophisticated cybercriminals, political “hacktivists,” nation-states, and even their own employees. As a result, all of our institutions will have to make increasingly thoughtful trade-offs between the value inherent in a hyperconnected world and the risk of operational disruption, intellectual property loss, public embarrassment, and fraud that cyberattacks create. Over the... [Lire la suite]