ERCIM is pleased to invite you to the Final Conference of the BOOST 4.0 project "Boost 4.0 Big Data and Industrial Data Space Large Scale Piloting for Digital Smart Factories" to be celebrated virtually on the 10th of December. Register online https://boost40.eu/final-conference/
In this final conference, some of the most relevant digital players and factories in the area of Industry 4.0 will present the results of the largest big data trials in the sector. Key leading experts on a broad spectrum of areas related to Industry 4.0 will provide their insights, best practices and lessons learned on how bid data technologies, AI and digital manufacturing platforms have helped companies such as VW or Whirlpool to revert long periods (25% of the time) and large warehouse overstocks (up to 20%).
High-end textile business networks will explain how to track and trace their supply networks for Preferential Certification of Origin (PCO). Machine tool manufacturers such as FILL and +GF+ will share how they have reduced their design time, service costs, quality defects and unplanned downtimes beyond 20% or how companies such as Benteler Automotive or Philips are building industrial data spaces to achieve enhanced operational excellence and augmented workforce decision support. In addition, D. Jordi Llinares Sanjuan (Subdirectorate General for Industry Digitization and Collaborative Environments - Ministry of Industry), a representation from the European Data & AI Strategy of the European Commission and a delegate of the Basque Government will also present the public policies for industry 4.0 data-driven digital transformation.
We are looking forward to virtually meeting you on December 10th! Do not miss this fantastic conference.
Boost 4.0, with a 20M€ budget and 100M€ of private investment, initiated in January 2018 a 3 year programme co-funded by the Horizon 2020 Framework Programme of the European Union Under grant agreement No 780732
Over the last 3 years, Boost 4.0 has successfully guided the European manufacturing industry in the introduction of Big Data by actively implementing its use and exploitation in different areas of factories (smart engineering, planning & commissioning, digital workplace, operations, connected production, service and maintenance) and across different sectors (automotive, machine tool, white goods, textile, ceramics, elevation/Aero).