TAIGER has worked closely with Singapore Management University (SMU) on several different aspects, including holding two TAIGER Academy courses around Artificial Intelligence for undergraduates, participating in the SMU-X experiential capstone module, and fully supporting SMU interns through full-fledged internship programmes. TAIGER is also a Gold Sponsor of the SMU School of Information Systems META Camp 2018.
TAIGER has collaborated with different research groups of the university in the development of numerous projects and proposals. Our work has been directed to the development of new Text Analytics solutions and Big Data storage and treatment platforms such as esTextAnalytics or EMOSPACES. In addition, we have been sponsors of several events organized by the University, especially in research congresses.
With this university, TAIGER was involved in the Big Data processing project called TOREADOR. The TOREADOR project is aimed at overcoming some major hurdles that until now have prevented many European companies from reaping the full benefits of Big Data Analytics (BDA). Many companies and organisations in Europe have become aware of the potential competitive advantage they could get by timely and accurate Big Data analytics, but lack the IT expertise and budget to fully exploit BDA. To overcome this hurdle, TOREADOR takes a model-based BDA-as-a-service (MBDAaaS) approach, providing models of the entire Big Data analysis process and of its artefacts.
TAIGER worked with the University of Alcala for the development of LPS-Bigger. LPS-Bigger’s main objective is to create the first framework to develop potential Big Data applications. In order to achieve this objective, the consortium will use the Product Line Software (SPL) methodology. This framework will be used to develop scaled and automatic new applications, using existing
components allowing the fast deployment of Big Data services. This proposal will use as core assets,
several components covering all the phases in the Big Data applications life cycle.
TAIGER collaborated with the University of Edinburgh in the ESSENCE project. The aim of the ESSENCE network is to translate abilities of natural communicating systems to computational systems in order to improve their resilience and robustness, and by doing so to also make these systems more comprehensible to human users. To this end, we will bring together research on phenomena observed in human communication with research from areas that investigate heterogeneous computational communicating systems.