The strong response to the recent Linked Data Day showed that there is great interest in CONWEAVER's topics. Challenges and opportunities are very close together for companies in the current market environment.  Generative AI is one of the key topics. Where will the journey take us? And how can a cube image help to better orientate oneself on this path?

Companies today are under great competitive and price pressure. This is why digital transformation is more necessary than ever. Data-driven corporate management is at the heart of this transformation. How can knowledge graphs help with implementation? And what consequences does this have for the data sovereignty of individual departments in companies?

In an increasingly complex and dynamic business environment, data-driven work and the use of knowledge graphs are becoming ever more important. These technologies enable companies to efficiently connect their data and extract valuable insights. But how can knowledge graphs be successfully implemented in practice? What challenges need to be addressed, especially regarding data sovereignty and integration into existing systems? This video presents practical examples and discusses solution approaches that can help companies fully leverage the potential of knowledge graphs.

The implementation of the "Knowledge Staircase" model plays a crucial role in a company's competitiveness by promoting the effective use of data and knowledge. A market-oriented digital transformation is essential, where technological investments are aligned with the company's strategic goals. Data management should not be left solely to specialized departments but should be a central task for management to establish company-wide standards and clear process chains. Knowledge graphs help to make the relationships between data and processes visible, enabling new insights that foster innovation and competitiveness. Continuous knowledge management is essential to create lasting value and optimize the use of AI technologies.