How to Build Reliable, Context Aware AI at Enterprise Scale
Discover how leading organizations are creating AI systems that combine real-time enterprise knowledge, governance, and connected data to support intelligent decision-making and action. In this webinar, Ravi Sharma explores the six architectural requirements organizations need to build reliable, context-aware enterprise AI systems. Learn why semantic clarity, graph-native relationships, temporal awareness, provenance, AI-native services, and developer-friendly platforms are becoming essential for production-ready AI. Chapters 00:00 Welcome & Introduction 02:03 Poll: Enterprise AI Challenges 06:03 Why Enterprise AI Needs Business Context 11:58 The Six Requirements for Production AI 15:43 Poll Results & Audience Insights 18:08 Semantic Clarity 20:36 Graph-Native Relationships 22:42 Temporal Awareness 25:52 Provenance & Explainability 27:53 AI-Native Services & Faster Time to Value 29:50 Audience Poll: Which Requirements Matter Most? 31:26 Building a Contextual Data Platform 36:38 AutoGraph, Auto-RAG & AI Services 42:24 Q&A: Migration from Existing AI Architectures 45:00 Accelerating Time to Value 46:54 Contextual Data Platform Architecture 50:03 Customer Story: AI-Powered Customer Support 52:49 Customer Story: Clinical Trial Matching 54:10 Next Steps & Additional Resources 55:17 Q&A: AI Accountability & Wrong Answers 56:48 Q&A: GraphRAG vs. Vector RAG 57:43 Closing Remarks What You'll Learn 🧠 Why enterprise AI requires more than traditional RAG 🔗 How semantic clarity and graph-native relationships improve AI reasoning ⏳ Why temporal awareness is essential for trustworthy AI 📖 How provenance, lineage, and explainability build confidence in AI outputs ⚙️ Why AI-native platforms reduce complexity and speed deployment 🚀 How organizations can accelerate AI projects from pilot to production Topics Covered Enterprise AI Contextual AI AI Architecture Semantic Clarity Graph-Native Relationships Temporal Awareness AI Explainability Provenance & Lineage Knowledge Graphs GraphRAG Retrieval-Augmented Generation (RAG) Enterprise Data Architecture AI Governance Production AI 📥 Read more about building reliable, context-aware enterprise AI: https://arango.ai/resources/how-to-build-reliable-context-aware-ai-at-enterprise-scale/ 🌐 Website: https://arango.ai 📖 Documentation: https://docs.arango.ai 💻 GitHub: https://github.com/arangodb 🔗 LinkedIn: https://www.linkedin.com/company/arangodb/ 📅 Upcoming webinars and events: https://arango.ai/resources/events Subscribe for more videos on Enterprise AI, Contextual AI, GraphRAG, Knowledge Graphs, AI Architecture, and AI Data Infrastructure.