Bringing Knowledge Graphs to Life: From Theory to Context to Decision

The rise of knowledge graphs is transforming how organizations connect, contextualize, and interpret data. In this webinar, Quantexa's data science experts will take you through the evolution of knowledge graphs and explain their critical role in grounding Large Language Models (LLMs) and Generative AI in enterprise data. Discover how knowledge graphs can reveal new insights, mitigate risks, and provide a solid foundation for AI applications in business.

Join us as we dive into common architectures, discuss whether knowledge graphs need a graph database, and share best practices for integrating knowledge graphs within AI and data science workflows. This session is essential for data professionals looking to enhance decision-making and leverage knowledge graphs for impactful, data-driven insights.

In this webinar, you will learn:

• What knowledge graphs are and how they evolve over time

• The role of knowledge graphs in grounding LLMs and Generative AI

• Best practices for implementing knowledge graphs to drive contextual insights

• Use cases where knowledge graphs can reveal hidden risks and insights

• Technical considerations and architectures for knowledge graph deployment.