PIM City invites users to project's personal data sharing platform
After two years developing the tools (PDK) to implement a PIMS system it is time to experiment with real users and for this PIM City project has implemented www.EasyPIMS.eu
After two years developing the tools (PDK) to implement a PIMS system it is time to experiment with real users and for this PIM City project has implemented www.EasyPIMS.eu
MediaFutures project is looking for innovative, creative and impactful ideas which address the issues of online misinformation and disinformation. Artists and startups can now apply until 30 August 2022 for participating in the accelerator and residency programmes.
Big Data Value Association is proud of being an institutional partner of IoT Week 2022. BDVA contributed to the IoT Week programme throughout the event days.
Data Week 2022 was wrapped up on the 8 and 9th of June in Naples, Italy. During the three weeks, 9 BDVA i-Spaces organised local events and a total of 34 online sessions were organised by the community discussing the most relevant topics for the community. The content was delivered by over 250 speakers and over 1000 participants joined the event.
BDVA/DAIRO General Assembly has appointed Laure le Bars (SAP) and Dr Valerio Frascolla (Intel) as BDVA vice presidents for industry. Almudena Sánchez (GMV) was re-appointed as a BDVA Treasurer with a 2-year mandate.
On June 9th 2022, rhe BDVA/DAIRO General Assembly (GA26) has accepted 7 new members to join the association. BDVA warmly welcomes the new members and is looking forward to all new opportunities and collaborations working together creates!
Technologies and Applications for Big Data Value explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides an overview of technologies and methods which enable data value chains and which can be applied in any sector.
MARVEL partners have found ways to improve the performance of deep neural networks with a method called just-in-time classification. This is the result of using multiple neural layers, each performing a high-dimensional transformation of its input.