The CAISE project integrates several key technologies such as Cloud Computing, Big Data, Deep Learning and High Performance Computing to enable intelligent content analysis of digital documents that play an important role in an ever-evolving knowledge-based society and economy.
The main goal of the project is to build a cloud platform supporting the development of intelligent and universal services that automatically interpret three types of documents: those containing only text, only images and hybrid ones combining both of the latter. Interpreting the content of these documents will allow to extract information and build knowledge that helps people to make decisions, analyse various activities documented there, as well as discover hidden relationships between them in order to create service pipelines representing various important fragments of human activities. This type of functionality will undoubtedly stimulate the further development of the digital society.
Expected results of the CAISE project directly address the public sector. However, their feasibility and the development potential of multi-cloud technology will enable the adaptation of the developed digital document analysis solutions to other sectors, including Industry 4.0. The core of the planned solution is a wide adaptation of the existing cloud and AI open software technologies.
The expected innovation is of two types. The first is process innovation, related to a unique combination of the DevOps methodology with continuous quality assessment techniques, and the second is product innovation, consisting in providing a production platform that can flexibly adapt to the specific user needs.