• Platform / Framework
  • I-BiDaaS Consortium

I-BiDaaS: Industrial-Driven Big Data as a Self-Service Solution

The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.

[field_contact_email]
  • Platform / Framework
  • I-BiDaaS Consortium

Specification of an end-to-end Big Data as-a-self-service platform

This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.

[field_contact_email]
  • Component / Service / App
  • Created by University of Novi Sad Faculty of Sciences (UNSPMF) and Barcelona Supercomputing Center

ADMM Machine Learning Algorithms

This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY

[field_contact_email]
  • Platform / Framework
  • Cesare Cugnasco

Multidimensional Storage with Efficient Sampling (MuSES)

Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.

[field_contact_email]
  • Component / Service / App
  • RENVIS

SOFIA DSS

SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.

[field_contact_email]
  • Process
  • Sotiris Diamantopoulos

E2Data Natural Language Processing

The Language Processing use case will focus on processing large amounts of messages from social media, such as Twitter, in order to perform semantic information extraction, sentiment analysis, summarization, interpretation and organization of content.

[field_contact_email]
  • Component / Service / App
  • BigDataStack Consortium

BigDataStack - High-performance data-centric stack for big data applications and operations

BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.

[field_contact_email]
  • Platform / Framework
  • DEEP-Hybrid-DataCloud

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.

[field_contact_email]
  • COVID-19 Other
  • InnoConnect

Analytical Map of COVID-19 Spread

The Analytical Map of COVID-19 Spread in the Czech Republic is available at https://mapa-koronavirus.innoconnect.net/ (switch to EN in the settings menu at top left). 

[field_contact_email]
  • Component / Service / App
  • Michael Beigl, KIT

Coronazaehler.de

The coronazaehler.de Web-App is an end user information platform for the current situation in Germany. It contains several analytics and simulations based on several extensive open data from governmental sources. In cooperation with the Smart Data Innovation Lab (SDIL) of the KIT.

[field_contact_email]

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