The Missing Layer in Enterprise AI: Context

AI models have advanced rapidly, and agents are beginning to automate real engineering tasks. Yet many organizations are discovering a hard truth: powerful models alone are not enough. Without a deep understanding of systems, architecture, and organizational constraints, AI can generate output but struggles to operate reliably in real-world environments. Join Tabnine Co-CEOs Dror Weiss and Eran Yahave for a live thought leadership session exploring why context has become the critical missing layer in enterprise AI. In this session, we discuss: - Why many AI initiatives stall between pilot and production The difference between retrieving information (RAG) and truly understanding systems - How agentic workflows are changing the requirements for enterprise AI infrastructure - The introduction of the Enterprise Context Engine — a persistent, structured model of systems, relationships, and constraints 👉 Ready to see it in action? Connect with our team for a personalized, 1-on-1 demo: https://www.tabnine.com #EnterpriseAI #GenerativeAI #SoftwareEngineering #Tabnine #AI #TechLeadership #AgenticAI