Industrial-Driven Big Data as a Self-Service Solution

I-BiDaaS Logo
Contact
Enric Pages
enric.pages at atos.net
Coordinator
IDRYMA TECHNOLOGIAS KAI EREVNAS
Funding Program
H2020
Project Date
to

Aims to empower users to easily utilize and interact with big data technologies by designing, building and demonstrating a unified framework that significantly increases the speed of data analysis while coping with the rate of data asset growth and facilitates cross-domain data-flow towards a thriving data-driving EU economy.

I-BiDaaS project will solve three very specific problems for the following domains:

  • Manufacturing: Production of high-quality products with specific minimised time delivery while increasing product competitiveness and client/supplier satisfaction.
  • Banking: Provide control to outsourced services and establish uninterrupted daily management operations and procedures using Big Data technologies.
  • Telecommunication: Employ more anthropomorphic and realistic bots in call centers using Big Data.
Our role

We lead the integration activities, more specifically those related to infrastructure provisioning and configuration and resource orchestration. We also contribute to dissemination and exploitation activities.