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🎧 Welcome to AI Adventures Ep 4: Agentic AI Runs Locally Presented by @fluidai in collaboration with @HitachiVantara! 💡 Enterprises are hitting real limits with cloud-first AI. In this episode, we break down why Agentic AI must run locally to be truly secure, sovereign, and enterprise-ready — especially in APAC! Raghav Aggarwal (Co-Founder, Fluid AI) sits down with: 🧠 Matthew Hardman, Chief Technology Officer – Asia Pacific @HitachiVantara ⚙️ Amit Deshmukh, Solutions Specialist- Expert @HitachiVantara 🔍 Inside This Episode: ✅ Why cloud-first AI often fails at scale ✅ Security, sovereignty & regulatory red flags ✅ Infrastructure strategies for on-ground GenAI deployments ✅ What’s working for BFSI & regulated industries ✅ Data, latency & control: why local infra wins ✅ Lessons from APAC’s multilingual, multi-market AI landscape ⏱️ Chapters 00:00 AI Infrastructure: What’s Broken & What Works 03:05 Cloud Limitations for Scalable Agentic AI 07:40 Data Sovereignty, Cost & Latency Concerns 12:25 Building Local, Secure, Enterprise-Grade AI 17:10 Model Evaluation, Switching & AI Portability 22:30 Scaling from POC to Production 28:00 Avoiding AI Pitfalls: Budget, Risk & Overspend 33:00 APAC Infrastructure Realities: Local Language, Local Data 38:20 Real Examples of Secure, Sovereign Deployments 43:00 Final Thoughts: How to Lead with Local AI 🎯 Want to build enterprise-ready, sovereign Agentic AI? Connect with Fluid AI: https://www.fluid.ai #AIAdventures #AgenticAI #FluidAI #HitachiVantara #EnterpriseAI #SovereignAI #GenAI #DataSovereignty #RegulatoryAI #OnPremAI #AIInfrastructure #AIPodcast #AIinBanking #LocalAI #AIInnovation #SecureAI