Uploaded January 2026 | Updated September 2026, 2 weeks ago
“84 of the Fortune 100 are using property graph models. Emil Eifrem explains why CIOs should care.”
🎙️ Future of Data and AI Podcast: Highlight with Emil Eifrem (Founder & CEO, Neo4j)
In this clip, Emil explains why the most successful AI applications rely on a graph-shaped knowledge layer—and why relational and NoSQL systems alone struggle with real-time, multi-source AI use cases.
💡 Key insight: The future of agentic AI isn’t just bigger models—it’s better structure. A property graph layer between enterprise data and AI agents enables reasoning, context, and explainability at scale.
🔹Must listen episode for : CIOs, enterprise architects, AI engineers, data scientists, and young entrepreneurs.
🎧 Watch the full episode: youtu.be/8CnGlytxpKA
🔗 Explore more about the podcast: datasciencedojo.com/podcast
“84 of the Fortune 100 are using property graph models. Emil Eifrem explains why CIOs should care.”
🎙️ Future of Data and AI Podcast: Highlight with Emil Eifrem (Founder & CEO, Neo4j)
In this clip, Emil explains why the most successful AI applications rely on a graph-shaped knowledge layer—and why relational and NoSQL systems alone struggle with real-time, multi-source AI use cases.
💡 Key insight: The future of agentic AI isn’t just bigger models—it’s better structure. A property graph layer between enterprise data and AI agents enables reasoning, context, and explainability at scale.
🔹Must listen episode for : CIOs, enterprise architects, AI engineers, data scientists, and young entrepreneurs.
🎧 Watch the full episode: youtu.be/8CnGlytxpKA
🔗 Explore more about the podcast: datasciencedojo.com/podcast
