Enterprise data architectures were built for a world where storing and querying tables was enough. But today’s enterprises operate in a far more interconnected reality, where relationships between people, systems, transactions, and data often reveal the most critical insights.
In this exclusive Digital Dialogues with Suhail Gulzar, Senior Manager, Solutions Engineering, Neo4j, we explore why traditional data models are beginning to show their limits as organizations move deeper into AI-driven decision-making.
The discussion examines how connected data can improve the reliability of AI outcomes, uncover hidden security threats, and help leaders understand complex relationships that traditional analytics often miss. From fraud detection and cyber resilience to AI governance and customer intelligence, the conversation highlights why relationship-driven analytics is becoming essential for modern enterprises.
If AI is to move from experimentation to trusted execution, the real shift may not just be in algorithms, but in how enterprises structure and connect their data.
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