OUTPUTS
PROCESS will offer

A multi-purpose, scalable architecture to bring exascale data services closer to a wide range of potential users beyond the use cases

5 data services prototypes, validated and showcased in real-world settings through the Pilots.

All developments will be available using a mature, modular and generalizable open source solution for user-friendly exascale data.

Use Cases: Five use cases are being developed under PROCESS project, related to:

The prototype services will be thoroughly validated and showcased in real-world settings through the Pilots / Use Cases:

USE CASES

Five use cases are being developed in the PROCESS project. There are as follows:
PILOT / USE CASE 1

Exascale learning in medical image data: pattern recognition system as a diagnosis support tool

Exascale learning in medical image data aims at improving the performance of decision support in the process of cancer detection, localisation and staging/grading to optimize and personalize treatment planning.

PILOT / USE CASE 2

SKA (Square Kilometre Array): processing of large amounts of data from telescope observations

A solution for the processing of massive astronomic data for an easiest and more efficient use of LOFAR telescopic observations.

PILOT / USE CASE 2

SKA (Square Kilometre Array): processing of large amounts of data from telescope observations

The LOFAR radio telescope consists of around 88.000 antennas in 64 stations distributed over 5 European countries and spanning some 1500 kilometers.

PILOT / USE CASE 3

Disaster risk data: more efficient information and risk management actions based on open data

Open data infrastructure at disposal for disaster risk management projects, in order to help informed decisions to support societal resilience.

PILOT / USE CASE 4

Ancillary pricing for revenue management: simulation and generation of optimal prices for ancillary services in airlines

Airlines algorithms for ancillary pricing to increase the airline’s revenues while offering passengers a more passenger-centric air traffic experience.

PILOT / USE CASE 4

Ancillary pricing for revenue management: simulation and generation of optimal prices for ancillary services in airlines

We offer airlines algorithms for ancillary pricing to increase the airline’s revenues while offering passengers a more passenger-centric air traffic experience.

PILOT / USE CASE 5

Agricultural, Copernicus data-based analysis: advanced techniques based on an agricultural analysis of earth observation data

Simulations of earth processes based on satellite information from Copernicus datasets, as a spearhead activity for piloting and stress-testing advanced data analysis techniques.