95% of AI pilots fail to reach production. Not because the models aren't good enough, but because agents lack the context, transparency, and judgment needed for high-stakes, real-world decisions. Join us for GraphTalk Singapore, where, we'll unpack why enterprise AI initiatives stall and what it actually takes to build AI systems that organizations can trust. We'll also be joined by a Neo4j partner, who will share how they help enterprises deploy trustworthy, production-grade AI systems in practice.
Whether you're an architect, data leader, or engineer building agentic systems, you'll leave with a concrete framework for moving AI from promising pilot to production-grade, trustworthy deployment.
We'll cover:
Why AI fails in production Hallucination, black-box reasoning, lack of data discernment, and missing enterprise context
The AI Knowledge Layer How connecting siloed enterprise data into a unified graph gives agents the grounding they need for accurate, explainable answers
GraphRAG in practice How leading companies use knowledge graphs to cut resolution times, improve answer accuracy, and enforce access controls at scale
Deterministic reasoning & data protection Using graphs to move beyond "black box" AI toward explainable, auditable, and secure agent behaviour
Networking and Lunch Meet fellow data and AI leaders across industries over networking lunch
Jesus Barrasa, Field CTO, Neo4j
Join us as Neo4j's Jesus Barrasa explains how graph reveals the natural connections in your business data and provides the context AI needs to deliver real results. See how leading organizations turn enterprise knowledge into competitive advantage, powering intelligent decisions and driving business transformation.
