Today, the Commission has published the Data Act, proposing new rules on who can use and access data generated in the EU across all economic sectors. The Data Act aims to ensure fairness in the digital environment, stimulate a competitive data market, open opportunities for data-driven innovation and make data more accessible for all.
The STAR project is creating a platform to support the development of DTs. The first prototype of the platform has been released, and it will be used to support different applications within the project, including workers’ fatigue estimation, automated guided vehicle (AGV) path planning, and worker training paths definition.
The project ExtremeEarth has concluded its activities on December 31st, 2021. To celebrate the successful ending of the project, the project has prepared a short video to introduce the impact achieved.
Every 4-8 weeks the BDVA community members and collaboration partners come together to discuss and progress on topics of common interest. These regular gatherings are called the BDVA activity group meetings/workshops. The 48th Activity Group meeting (AG48) took place last February 8th, 2022, with discussion topics on Data Technology architectures, Data protection, Data Spaces and AI standards combined with pitches from members and presentations from collaboration partners.
Taking place on 10th of March online, this conference will address the main challenges for AI standardization and innovation that industry has to tackle in order to ensure European leadership on an international context.
The European Commission has published a new Standardisation Strategy to ensure European leadership in global standards, boost investments in the green and digital economy, and prepare for challenges introduced by new technologies.
BDVA/DAIRO and EUHubs4Data (European Federation of Data Driven Innovation Hubs) organises a series of workshops to bring ICT-13 and other Data Platform projects closer to data markets. The next event is held on February 1st, focussing on federating assets (data sets and services) from data platform projects, how to interoperate those and to share best practices for data spaces implementation.