Why Observability Decides AI in Production | Built to Scale: Secure AI Factory Ep. 2

Description

Rajeev Khanolkar and Matt Locknane go inside the observability layer of Cisco's Secure AI Factory: what AI observability actually means, and the three pillars that decide pilot vs. production: performance, security, and tokenomics. What we get into: - The 3 pillars of AI observability: performance, security, and tokenomics - Splunk Observability Cloud across hardware, AI workloads, and RAG on a single dashboard - Why public AI chatbots are quietly burning hundreds of thousands of dollars in tokens - Security through an observability lens: denial of service and identity compromise - How an on-prem Secure AI Factory turns invisible token spend into measurable ROI Make sure to watch Episode 1 of Built to Scale: Secure AI Factory "The Stack" → https://youtu.be/KUOUtOhB2EU?si=f5cUglGNiis1JbPd Learn more: https://www.gruve.ai #CiscoAI #SecureAIFactory #EnterpriseAI #Splunk #Observability