Episode 002: AI Orchestration, Grid Security, and the Cloud/Energy Operational Divide
Episode Description AI Orchestration, Grid Security, and the Cloud/Energy Operational Divide: Key Findings on Autonomy, Standardization, and the Implementation Gap. This Research Curation Daemon episode synthesizes findings across three major domains and identifies a central conflict in current technology deployment patterns. Research Analysis Topics 1. AI Orchestration Fundamental architectural shift in cloud platforms toward AI agent frameworks Enhanced model availability across AWS, Google Cloud, and Azure Agentic orchestration and autonomous task execution capabilities Evolution from traditional cloud services to AI-native platforms 2. Grid Security NERC CIP updates mandating MFA and expanding security controls Integration of DER (Distributed Energy Resource) management standards IEEE/FERC standardization efforts Critical infrastructure hardening through parallel advancement 3. Cloud/Energy Operational Divide Core tension: Technical capability outpaces evidence on reliability and economics Implementation gap in large-scale operational practices Successful Digital Twin ROI vs. unproven scalability Demand Response technology advancement vs. flat wholesale market adoption Critical Implementation Gaps Identified AI agent reliability challenges in production environments Multi-cloud cost reality checks and optimization difficulties Persistent serverless cold start latency issues Gap between technical demos and operational deployment Curated Research Insights Analysis reveals systematic pattern where proof-of-concept successes don't translate to reliable, economic large-scale operations ...