Almost a hundred people have gathered at Espaitec to participate in this conference focused on big data technologies.
The conference “Big data technologies at the UJI”, organized by the Office of Cooperation in Research and Technological Development (OCIT) of the Universitat Jaume I and the Scientific, Technological and Business Park, Espaitec, has aimed to present the offer of research and big data solutions developed at the Universitat Jaume I, both by research groups and by companies linked to Espaitec.
Jesus Lancis, vice-rector for Research and Doctorate at the UJI, highlighted at the opening ceremony the importance of this type of event to bring the academic and business worlds into contact. Furthermore, he has announced that today's session opens a cycle of transfer sessions between UJI research groups and the business community of Castellón that, focused on different areas of knowledge, will take place throughout 2017.
The first part of the day focused on the research carried out at the UJI. Rafael Berlanga, professor of Department of Languages and Computer Systems of the UJI and coordinator of the Temporal Knowledge Bases research group, has spoken about the value of big data and its ability to facilitate business decision-making. In his speech he highlighted the close relationship between big data and artificial intelligence, which represents a market niche for emerging start-ups. Finally, he presented the trajectory of his research group in the integration of analytical data for business intelligence and research focused on social business intelligence, that is, extracting strategic value through data published on social networks and facilitate conversational commerce.
José Salvador Sánchez Garreta, professor of Institute of New Image Technologies (INIT) and coordinator of the Pattern Analysis and Learning research group, has presented new research related to analysis, evaluation and prediction of financial risks using machine learning methods. In this case, the application of big data makes it possible to predict the risk of credit repayment or default, perform predictive analysis of financial failure or bankruptcy, and detect fraudulent operations, among other applications.
José Antonio Heredia, full professor of Department of Industrial Systems Engineering and Design and member of the Manufacturing Engineering research group, was the last researcher to speak and focused his presentation on industry 4.0. His research is based on the development of theories on how companies should adapt their planning systems to the changing environment. The fundamental purpose of his research is to create more flexible manufacturing systems that can adapt to changing trends and customize products.
In the second part of the day, the Espaitec companies were the protagonists. Andrés Gutiérrez, Marketing Director of the fintech TheLogicValue, has narrated his experience selling big data solutions to large banking entities. Javier Muñoz, software manager IoTsens, has presented its platform for smart city management based on scalable and interoperable solutions to collect and exchange data that connect the physical world with computer-based systems. Mario Catalan, CIO of Zeus-Smart Visual Data, has presented the Zeus Vision tool, a new concept of a balanced scorecard. Finally Daniel Pecos, director of the IT Department of Nayar Systems, has presented industrial machine learning developments applied in the lifting sector.
Download the presentations:
- Rafael Berlanga: » Finding the value of big data»
- José Salvador Sánchez: «Analysis, evaluation and prediction of financial risks using machine learning methods»
- Andre?s Gutie?rrez: «Tips for selling your big data solution to a large banking institution»
- Javier Munoz Ferrara: «IoTsens: processing massive sensor networks for Big Data»
- Mario Catalán: «Zeus -Smart Visual Data, the evolution of dashboards in big data»
- Daniel Pecos: «Industrial Machine Learning»


