{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c0464015aa4645ddb504de6d276d6b8a\" frameborder=\"0\" width=\"1672\" height=\"1254\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1254,"width":1672,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1254,"thumbnail_width":1672,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c0464015aa4645ddb504de6d276d6b8a-9e55d63a90e647fa.gif","duration":306.191,"title":"Why Talking to Your Enterprise Business Data is not as easy as it looks! ","description":"In this video, I discuss the challenges of accessing enterprise business data for accurate insights, highlighting that this remains an unsolved problem despite the advancements in AI and LLM models. I outline three key issues: the need for real-time data integration across various platforms, the context gap between business terminology and data, and the difficulties of delivering insights to users in their preferred environments. To address these challenges, I'm excited to announce our new open agent platform, AI Insights Fabric, which will enhance context engineering and provide accurate, explainable answers. I encourage you to consider how this solution could fit into your existing data stack and improve your analytics capabilities."}