Uploaded June 2026 | Updated September 2026, 2 weeks ago

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🎙️ Future of Data and AI Podcast: Highlight with Emil Eifrem (Founder & CEO, Neo4j)

Why do so many enterprise AI initiatives struggle to scale?

In this clip, Emil explains why the answer often lies in how organizations structure and connect their data. He shares how leading enterprises are using knowledge graphs to provide context for AI systems, improve decision-making, and unlock value from complex data ecosystems.

Rather than treating knowledge graphs as a massive IT project, successful companies use them to solve specific business challenges first — allowing their AI capabilities to expand naturally over time.

💡 Key insight: Enterprise AI is only as effective as the context behind it. Knowledge graphs create the connected foundation that helps AI understand relationships, not just data points.

🎧 Watch the full episode: youtu.be/zB76ZORi1wo

🔗 Explore more about the podcast: datasciencedojo.com/podcast

🔹Perfect for: CIOs, AI leaders, data strategists, enterprise architects, and teams looking to build more reliable, context-aware AI applications.

Learn why connected data is becoming a competitive advantage in the age of enterprise AI.