DITAS project videos make it easy for users and developers to understand the project principles. More videos will be produced and uploaded during the project extension.
DITAS Project Overview
This introduction video is focused on giving a high vision of the DITAS project, by explaining that its aim is to develop innovative framework to simplify the development and execution of data-intensive application.
DITAS Project Outcomes
Pierluigi Plebani, the scientific coordinator of DITAS, presents the main project outcomes. Starting from typical data applications’ challenges, the video describes the DITAS offering for succesfully deal with them.
Enric Pages, the coordinator of DITAS, explains the motivation for participating in the DITAS project and which is going to be company’s role.
Politecnico di Milano
Pierluigi Plebani, the scientific coordinator of DITAS, explains the reasons to be participating in the DITAS project and the work they are going to perform.
Grigor Pavlov, from CloudSigma, explains why the cloud provider company joined the DITAS project.
Aitor Fernandez, from the IK4-IDEKO’s ICT and automation research line, explains the Industry 4.0 use case.
Technische Universität Berlin
This is the role of Technische Universität Berlin in DITAS Project.
Ospedale San Raffaele
Andrea Micheletti, project manager of DITAS at Ospedale San Raffaele, explaining why OSR joined the project and company´s role.
Maya Anderson, project manager of DITAS at IBM Israel, explaining why they joined the project and their company´s role.
Below are the webinars for the two DITAS use cases: Industry 4.0 use case with IDEKO, and e-Health use case with OSR.
Industry 4.0 webinar
Aitor Fernandez (IDEKO)
Industry 4.0 webinar wants to demonstrates how easy is to develop, deploy and maintain apps to manage data produced by sensors and actuators on manufacturing machines at IDEKO using the DITAS framework.
Andrea & Ilio (OSR)
e-Health webinar wants to demonstrate the possibility to easily develop applications able to process and to move clinical data from the premises to the cloud environment while ensuring the compliance with the published data especially with the security and privacy issues using the DITAS framework.