File uploads: We have fixed an issue which caused file uploads to fail. We apologise for the inconvenience it may have caused.

Published September 12, 2018 | Version v1
Conference paper Open

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

  • 1. Foundation for Research and Technology - Institute of Computer Science (FORTH - ICS), Hellas
  • 2. University of Novi Sad, Faculty of Sciences, Department of Mathematics and Informatics, 21000 Novi Sad, Serbia
  • 3. AEGIS IT Research, United Kingdom

Description

The convergence of Internet of Things (IoT), Cloud, and Big Data, creates new challenges and opportunities for data analytics. Human- and machine-created data is being aggregated continuously, transforming our economy and society. To face these challenges, companies call upon expert analysts and consultants to assist them. In this paper, we present I-BiDaaS, a European Union Horizon 2020 research and innovation project that proposes a self-service solution for Big Data analytics. The solution will be transformative for companies that aim to extract knowledge from big data. It will empower their employees with the right knowledge, and give the true decision-makers the insights they need to make the right decisions. It will shift the power balance within an organization, increase efficiency, reduce costs, improve employee empowerment, and increase profitability. I-BiDaaS aims to empower users to easily utilize and interact with Big Data technologies, by designing, building, and demonstrating, a unified solution that significantly increases the speed of data analysis while coping with the rate of data asset growth, and facilitates cross-domain data-ow towards a thriving data-driven EU economy.

Files

Essoc2018a.pdf

Files (132.9 kB)

Name Size Download all
md5:b7f3427f0182db2f52a960d217a32a0a
132.9 kB Preview Download

Additional details

Funding

I-BiDaaS – Industrial-Driven Big Data as a Self-Service Solution 780787
European Commission