Traduction de «Gérer la classification des données sur les TIC » (Français → Anglais) :

define enterprise data architecture | manage ICT data architecture

101. Considers that a data-driven economy is key to economic growth; emphasises the opportunities that new ICT technologies such as Big Data, cloud computing, the Internet of Things, 3D-printing and other technologies can bring to the economy and society, especially if integrated with other sectors such as energy, transport and logistics, financial services, education, retail, manufacturing, research or health and emergency services, and if used by public authorities to develop smart cities, better manage resources and improve environmental protection; highlights in particular the opportunities offered by energy sector digitalisation, ...[+++]with smart meters, smart grids and data hubs for more efficient and flexible energy production; underlines the importance of public-private partnerships and welcomes Commission initiatives in this respect;

Many witnesses stressed that the health care sector is far behind other information-intensive sectors – such as the banking industry, insurance companies and the airlines – in terms of investing in ICT for collecting, managing and analysing data.

FuturICT Knowledge Accelerator and Crisis-Relief System: ICT can analyse vast amounts of data and complex situations so as to better predict natural disasters, or manage and respond to man-made disasters that cross national borders or continents.

- for health: personal non-obtrusive systems that enable citizens to manage their well-being such as wearable or implantable monitoring devices with communication capabilities and autonomous systems for supporting a healthy state; emerging techniques such as molecular imaging for improved prevention and individualised medicine; health knowledge discovery and application in clinical practice; modelling and simulation of organ functions; micro- and nano-robotic devices for minimally invasive surgical and therapeutic applications; r ...[+++]emote assistance and remote monitoring technologies for the chronically ill and for elderly people; computer aided detection and clinical decision support systems that lead to more reliable diagnosis and an improved workflow, eventually leading to disease specific expert systems taking an integral carecycle approach, and exploiting accumulated patient data, and model based disease knowledge through data mining, bioinformatics, and systems biology; enterprise IT systems leading to increased efficiency and reduced medical error in the hospital and in secondary care facilities;