HistoGrapher
Histographer is a software platform for building holistic solution integrating multimodal histopathology data.
Blockchain network for exchanging 3D personal data extracted from medical images and body scanners
Private blockchain network that includes a metrics catalogue. Data customers are connected to data providers. Data costumers can configure SQL queries and obtain individual anonymised data or aggregated data.
DEEPaaS - Deep Learning for everybody
The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.
Lexa Texer predictive analytics
Machine learning / AI driven service desk to optimize Railway service operations: LexaTexer offers predictive analytics that help corporations organise decision-making by analysing documents with machine learning technology.
AEGIS Data Management and Analytics Platform
The AEGIS platform provides a multi-tenant data management and processing services for big data. The multi-tenancy behaviour allows different users and services to securely and privately access and process their data.
Pharmawizard
Pharmawizard is a digital healthcare solution that empowers citizens to better manage their day-to-day health through user-friendly virtual services such as drug and symptom research, comparison, therapy management and communication with pharmacists and doctors.
DataBench Toolbox
The goal of the DataBench Toolbox is to provide a way of reusing existing big data benchmarking efforts under a common framework, providing therefore a way to select, download and homogenize technical and business indicators.
DatrisAI Community Mapping
Datris has been applying its AI technology to develop a Community Mapping Tool that can identify, validate and profile community based organisations, clubs, groups and charities.
SAP Data Hub
The all-in-one data orchestration solution discovers, refines, enriches, and governs any type, variety, and volume of data across your entire distributed data landscape.