Stop Building Dashboards. They Are Failing Your Business | Ayush, Founder Genloop

@AIwithArunShow Most companies are drowning in "messy" data and useless dashboards that tell you what happened, but never why. In this episode, Ayush Gupta, CEO of Genloop, reveals the blueprint for building AI Data Analysts that actually drive revenue and decision velocity. In this video, you’ll discover: The "Spider2" benchmark secret that puts Genloop ahead of Snowflake. Why "Big Models" (LLMs) often fail at complex reasoning and when to use "Small Models." The truth about AI replacing data analysts (and the new role you must adopt). A 5-step framework for moving from a failed pilot to a high-value AI rollout. 🚀 CALL TO ACTION: If you found this insight valuable, SUBSCRIBE to the AI with Arun Show for battle-tested enterprise AI lessons. Detailed Timestamps 0:00 - Why dashboards are failing leaders today 2:15 - Meet Ayush Gupta: The vision behind Genloop 4:30 - The "Why" behind the data: Moving beyond visualization 7:10 - What happens to your business if you remove AI? 9:45 - Architecture Deep Dive: Offline vs. Online stacks 12:30 - Breaking Benchmarks: Outperforming Snowflake on Spider2 15:15 - How AI agents handle "Tribal Knowledge" and messy data 18:40 - The "Fire Hose" Problem: Why bigger LLMs aren't always better 21:55 - Solving the Trust Problem: Hallucinations vs. Reliability 25:20 - Why 100% of AI pilots fail (Problem Framing) 28:45 - The future of the Human Data Analyst 30:00 - Rapid Fire: The "Dashboard Hoarding" habit to drop #EnterpriseAI #AIAgents #DataAnalytics #Genloop #AIStrategy #GenerativeAI #BusinessIntelligence #MachineLearning #techleadership Themes Enterprise AI Agent Architecture, AI Data Analyst ROI, Text-to-SQL vs. MCP, Decision Velocity in Business. "How to build AI agents for enterprise," "Genloop vs Snowflake benchmarks," "AI data reasoning," "Why AI pilots fail," "Automating business intelligence with LLMs." "The most shocking part of this conversation was that bigger models actually dropped accuracy for certain tasks. 🤯 At what stage is your company’s AI journey: Pilot, Stalled, or Scaling? Let’s discuss below! 👇 FOR THE COMMUNITY 🚨 We’ve all heard the hype, but why are most Enterprise AI projects quietly dying after the pilot stage? I just sat down with Ayush Gupta (CEO of Genloop) to strip away the LinkedIn "demo culture" and look at what it actually takes to make AI agents work with messy, real-world data. We talked about why your dashboards are failing you and why the "biggest" AI models might be ruining your accuracy. Watch the full masterclass here: https://youtu.be/1Ec8B2xZtyA Question for you: If you could have a personal AI agent solve ONE "messy" data problem in your company today, what would it be? (Inventory, Sales, Supply Chain, etc.) Let me know! ⬇️ Join this channel to get access to perks: https://www.youtube.com/channel/UCnOpIzLQgKq0yQGThlNCsqA/join