• September 1, 2026

    10:00 a.m. – 11:30 a.m.
    Online
    Rethinking Value Creation – Data Rooms for the Connected Industry
    Today, data is a key success factor for companies across all industries. Its potential is increasingly being realized beyond corporate boundaries: In interconnected value chains, manufacturers, suppliers, customers, and service providers must exchange information efficiently and reliably. At the same time, companies face the challenge of sharing data while ensuring data security, confidentiality, and their own data sovereignty. This is exactly where data rooms come in. They enable secure and standardized data exchange between partners without losing control over their own data, thereby laying the foundation for more efficient processes, greater transparency, and new digital business models. Learn more ›
  • September 4, 2026

    9:00 a.m. – 2:00 p.m.
    Magdeburg - Fraunhofer Institute for Factory Operations and Automation (IFF)
    Technology Workshop: “Data Room Technologies—Automated Data Exchange with Industry Partners”
    How can you plan your production more efficiently and streamline processes—while also implementing solutions such as the Digital Product Passport and automated reporting? Efficient companies automatically share data—from product data and models to bills of materials, machine data, and process data—with their business partners. Data rooms make it possible to share data with customers and suppliers cost-effectively, securely, and on your own terms. Find out how you can leverage this potential for your company! Learn more ›
  • September 9–14, 2026
    Online
    Save the date: Train-the-Trainer Program & Multipliers Webinar
    Many companies face major challenges—bureaucracy, rising customer expectations, and a shortage of skilled workers lead to high costs, frustration, and competitive problems. Data ecosystems offer solutions. Data ecosystems enable secure, autonomous, and direct data exchange. They are central to the future competitiveness of small and medium-sized enterprises. The Train-the-Trainer program is aimed at change agents who wish to further their professional and methodological knowledge regarding data ecosystems. The program’s goal is to provide you with a fundamental understanding of data ecosystems and why they are relevant to businesses. To this end, you will gain practical knowledge and be equipped with methods to assess potential and communicate it to your target audience. In addition, you will be able to assess companies’ readiness to participate in data ecosystems and show them concrete steps they can take to benefit from these advantages. No prior knowledge of digitalization is required. Participation is free of charge.
  • September 15, 2026

    10:00 - 11:00
    Online
    Innovation Snack: Data Rooms in the Manufacturing Industry – Sharing Data Securely, Creating Added Value
    How can companies securely exchange data, streamline processes, and tap into new digital applications? In this one-hour online session, you’ll gain a concise and practical insight into industrial data rooms and their potential for the manufacturing sector, particularly for medium-sized industrial companies. Learn more ›
  • September 24, 2026

    9:30 a.m. – 4:00 p.m.
    Frankfurt am Main - VDMA e.V.
    SCALE-MX software provider dialog
    How can digital collaboration succeed across company boundaries, and where do measurable business benefits arise from it? The 3rd SCALE MX Software Provider Dialogue will address these questions. The event will focus on practical insights into the digital transformation of industry and the successful implementation of digital value-creation networks. Using concrete application examples, the event will demonstrate how the machine-readable exchange of product, machine, supplier, and supply chain data is already being used productively today, and how these solutions contribute to increasing efficiency, productivity, and competitiveness. In addition, the event will explore the potential of Manufacturing-X and data rooms for cross-organizational collaboration. More info ›