The Business Context Gap Undermining Enterprise AI

As enterprises move from AI systems that answer questions to AI agents that take action, a new challenge is emerging: the business context gap. In this video, Arango CEO Shekhar Iyer shares insights from his Forbes Technology Council article, The Business Context Gap Undermining Enterprise AI. He explains why today's AI systems need more than advanced models and retrieval. They need complete, current, and trusted business context to make reliable decisions at enterprise scale. Key Takeaways 🤖 Why the business context gap is becoming one of the biggest challenges in enterprise AI 🔍 Why retrieval identifies relevant information but doesn't determine what is appropriate or permitted 🔗 Why AI systems require unified, current, and trusted business context 🛡️ How business context helps organizations build more reliable, explainable AI 🚀 Why closing the context gap is essential as AI agents become more autonomous Read the Article: https://arango.ai/resources/the-business-context-gap-undermining-enterprise-ai/ CHAPTERS 00:00 Introduction 00:13 The Shift to an Agentic World 00:35 The Business Context Gap 00:57 A Clinical Research Example 01:19 Why AI Needs Unified Business Context 01:34 Trust as a Competitive Advantage 01:48 Read the Full Forbes Article Learn More 🌐 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, Business Context, Contextual AI, AI Architecture, GraphRAG, and trusted AI.