Agentic AI Should Run Locally- Sovereign & Scalable | AI Adventures Ep4 | Fluid AI x Hitachi Vantara

Описание: 🎧 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

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