Accenture AI Leaders Podcast
AI Leaders Podcast #69: Knowledge Graphs in the Age of Gen AI
Feb 17, 2025
Tony Romito, Technology Consulting Director at Accenture, and Navin Sharma, Head of Product at Stardog, dive into the intriguing world of knowledge graphs. They explain how these tools enhance data management and reasoning, particularly in the age of generative AI. Discover how knowledge graphs tackle issues like hallucinations in language models, their role in enterprise architecture, and their importance in decision-making across industries. The conversation also debunks myths surrounding knowledge graphs, showcasing their continued relevance and value.
35:05
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Quick takeaways
- Knowledge graphs enhance operational efficiency by mapping complex data relationships and providing contextual depth that large language models often lack.
- Implementing knowledge graphs democratizes data access, allowing organizations to improve decision-making and productivity without extensive technical expertise.
Deep dives
Understanding Knowledge Graphs
Knowledge graphs represent the relationships between various concepts within an organization, transforming raw data into meaningful information. They have gained relevance due to advancements in technology that enable the rapid creation and application of knowledge graphs at an enterprise level. By addressing the challenge of siloed data, knowledge graphs can connect disparate data sources, allowing organizations to leverage their information more effectively without the need to restructure entire data architectures. This capability is especially crucial as businesses look to integrate advanced AI systems, which require contextual knowledge that exists beyond mere statistical correlations.
