Big Data

DICE - Towards the Development of Data-Intensive Applications with Iterative Quality Enhancements

Focus Area

DICE action (Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements) [1] focuses on Big Data, Quality Assurance (QA) and Model-Driven Engineering (MDE).

Recent years have seen the rapid growth of interest for developing enterprise applications that use data-intensive technologies. However, quality assurance in the software engineering process for these applications is still in its infancy.

ARTIST - Advanced software-based seRvice provisioning and migraTIon of legacy Software

Focus Area

For software companies, cloud computing offers a modern world of business opportunity, allowing them to provide their application not only as a product but as a service. Thus, they will enjoy, among other advantages, of agility and efficiency.

Migrating software to cloud infrastructure may be sufficient much of the time. But residing in the cloud is not enough to make an application fully scalable, elastic and ‘cloudy’. The software code itself must be modernized if maximum performance and efficiency are required.

Making School as a Service a reality

Focus Area

EDUCLOUD is the first “School as a Service” platform available in a French state school today.

Following the theme of making learning fun for children, NVIDIA has been working with Gayatech, other start-up companies, and local authorities, on a customisable cloud-based educational platform which includes a 3D video game for children as its main pillar.

Big data: what is a brontobyte?

A modern smartphone is likely to hold 32 or 64GB of data – that’s around 12,800 times the capacity of early hard disk drives, with the cost of the storage component coming in at under $50. As data has gotten bigger, we have obviously needed bigger places to store it – and increasingly weirder words to allow us to describe these sorts of capacities in human language.

Healthcare’s Love Hate Relationship with Data

Healthcare and data have the makings of an epic love affair, but like most relationships, it’s not all roses. Data is playing a powerful role in finding a cure for cancer, informing cost reduction, targeting preventative treatmentsand engaging healthcare consumers in their own care. The downside? Data is needy. It requires investments in connectedness, cleanliness and safety to maximize its potential.