Feb 24, 2022 | Blog
The handshake is one of the oldest forms of expressing one’s sincerity and goodwill to another person when closing a deal, while at the same time expecting that same mindset from that person in turn. What is hoped to reap from this ritual, is mutual trust. Even today,...Feb 18, 2022 | Blog
But during this week I stumbled upon this [1] report on the state of open source in 2022. Well, this has definitely a broader perspective than the IDSA work, but it also underlines the discussion we had on the IDSA Winter Days and the...Feb 10, 2022 | Blog
Hammocks and fountains offered some relief in Sofia’s parks during the latest heatwave, but extreme weather wreaked havoc on systems that make cities function, from healthcare to the electricity grid. While cooling air finally spilled into the valley, pressures on...Feb 4, 2022 | Blog
The Data Space Radar tracks all the groups of companies developing data spaces based on IDS standards according to their domain and the maturity of the solution. The Radar – the only one of its kind – gives companies a vivid insight into who is adopting the IDS...Feb 3, 2022 | News
The MUSKETEER project was successfully completed by the consortium partners. Between 2019 and 2021, the Horizon Europe project brought together a multidisciplinary consortium of 15 organizations and companies from seven countries with different areas of expertise. The...aiXia" which will be led by LANTEK (digital services) together with the companies LIS SOLUTIONS | S.L. (data analytics and ai services) | INGETEAM, S.A.(energy) | GOIZPER S.COOP. (machine-tool industry) | MONDRAGON ASSEMBLY S.COOP. (manufacturing) | UBIKARE ZAINKETAK, S.L. (healthcare) | EROSKI S.COOP (retail) | The technology coordinator is IKERLAN (a leading knowledge transfer center providing competitive value to companies)
SUCCESS:
Seeks to promote and research the necessary technologies for the definition of a reference architecture, operational models, adoption of standards and developments for a data space based on the common technical framework proposed by DSBA members, extending its main services to favor the development of artificial intelligence with guarantees of traceability, security, and governance of the data and services.
MONDRAGON ASSEMBLY - an international firm specializing in the development of automatization and assembly solutions for various sectors. It operates 6 production plants around the world and is part of the largest cooperative group in the world | IKERLANÂ Technical research center and member of IDSA
CHALLENGE:
EGOKIA solution allows collaborative learning and knowledge sharing between geographically distributed plants, integrating headquarters in Basque Country and domain experts. Thanks to the data space, data, and AI assets can be securely shared throughout different corporate sites and a new knowledge-based economy emerges.
SUCCESS:
Deploys an architecture based on IDSA connectors, linking Mondragon Assembly’s data and AI platforms from different corporate sites. With this new reliable data space, we extend the lifecycle of artificial intelligence models, enhance their capabilities, and facilitate trusted access and use of its assets by EGOKIA participants.
IKERLAN is a leading knowledge transfer technological centre providing competitive value to companies. We seek for excellence in R&D&i, thanks to the continuous adaptation to the needs of our customers and the proximity with the business reality. Faithful to our mission, we have been working daily since 1974 to develop solutions that allow our customers to become more and more competitive. We are a cooperative member of the MONDRAGON Corporation and the Basque Research and Technology Alliance (BRTA).
Thanks to a unique cooperation model, which combines technology transfer activities, internal research and training of highly qualified personnel, IKERLAN is currently the trusted technological partner of major companies in the country. To meet our goal, we are structured into two technological specialization units:
IKERLAN is a center that is dynamic and open to the world. We are an accredited agent of the Basque Network of Science, Technology, and Innovation and of the Spanish Federation of Technology Centres. We have a major cooperation network integrated with renowned European centers and universities, with which we conduct activities of research and training of researchers.
Mission: To solve the technological challenges of the companies, improve their competitiveness and collaborate with the sustainable social and economic development of the environment, all of that from a position of technological leadership and with differential abilities in their areas of expertise.
Vission: Technological center, cooperative and non-profit, known as the European leader in its areas of specialization, with an exceptional cohesive human team, that provides value to the companies and society.
Santiago Charramendieta
scharramendieta@ikerlan.es
Website
https://www.ikerlan.es/
VTT | Wärtsilä | Uwira
CHALLENGE:
The use case revolves around expediting and enhancing transparency between a focal company of a manufacturing ecosystem (OEM) and its supplier in their production order management processes. The existing communication methods have proven inadequate in facilitating efficient and adaptable exchanges between the two entities. By facilitating transparency and fostering a more seamless integration between the IT systems of both companies, the management of product orders can be streamlined, resulting in heightened efficiency and a reduction in errors.
SUCCESS:
The objective is to facilitate a reliable and seamless flow of data between the OEM and its supplier by establishing a dedicated data space. The developed solution will be seamlessly integrated with pre-existing IT infrastructures of both companies and the solution is grounded in the framework of the IDS reference architecture.
The OEM can selectively disclose data from their production environment to the supplier without the fear of data leakages. Respectively, the supplier receives only the data that are essential for them and there is no need to locally extract meaningful insights and valuable information from big data sets.