This webinar is recorded and available on demand.
Join the founders and CEOs of two of the leading companies in the field of graph technologies and the implementation of knowledge graphs Atanas Kiryakov of Ontotext and Andreas Blumauer of Semantic Web Company. They will explain why semantic knowledge graphs play a central role in improving data analytics, data governance, and content management. They will also demonstrate how knowledge graphs support business decision making, customer satisfaction, and knowledge discovery.
They will provide 10 simple steps to create, use, evolve and grow knowledge graphs and will show you how graph technologies and related methodologies can be implemented to help organizations in different industries and along different processes to achieve:
- Cost savings through better orchestration of knowledge workflows and more efficient reuse of assets, e.g., in HR-related processes.
- Generation of 360° views of customers and products by unifying unstructured and structured data and connecting data silos through harmonized metadata, e.g., in the financial industry.
- Improved customer experience through precise text analysis and auto-tagging using knowledge graphs, e.g., to improve technical documentation or customer support.
- Enhanced engagement and better re-purposing and monetization of your published content through rich semantic metadata and personalized recommendations.
- Quicker and more efficient decision making and research through better search and analysis options, e.g., in drug development, market intelligence or supply chain management.
Along the knowledge graph life cycle, you will understand how to enable humans and computers to complement each other in knowledge management, information extraction and data analytics. The webinar will highlight technologies and methodologies that automate the routine work of data scientists, librarians, editors and other knowledge workers, while—based on explainable AI—enabling them to control these processes and contribute with explicit knowledge, sample data or feedback.
Duration: 60 minutes
