As demands for customer and business data become increasingly complex, organizations struggle to cope with the volume and variety of data spread across myriad enterprise data systems. Inconsistent terminologies and data representations make it difficult to integrate and extract knowledge across this ecosystem.
Knowledge graphs are way more than just a catalog and integration layer for the hundreds or thousands of corporate data silos. We argue that it's the foundation for turning pure data into actionable knowledge that supports the right decisions at the right time.
Real world, business-focused success stories of how knowledge graphs, ontologies, and AI have been applied to address business needs. The track will focus on return on investment and value to organizations.
Alexander WahlerDieter Fensel
In 2023 there will already be more than 8 billion active voice assistants worldwide. Automation is the only way how to manage all of these conversations; however, more complex conversations remain a challenge due to the lack of comprehension for the underlying semantics of the conversations. In this talk we will show how knowledge graphs can dynamically drive conversations.
Advanced technical presentations, delving into leading software, integrations, and techniques to share the latest leading edge developments and solutions.