Whitepaper: IoT, Machine Data & Agentic AI for Autonomous Operations

Industrial AI isn’t failing because of models—it’s failing because data, context, and deployment aren’t ready. This whitepaper shows how Agentic AI, IoT, and edge computing come together to turn raw machine data into real-time, outcome-driven operations.

Top 5 Takeaways:

• Why machine data is the real engine of AI – How telemetry, SCADA, building systems, fleets, cameras, and energy data become the richest training fuel for industrial intelligence.
• Why IoT and edge are non-negotiable for AI at scale – The role of a unified operational data layer and edge execution platform in delivering low latency, resilience, and data sovereignty.  
• A pragmatic roadmap from pilots to production – How to start with the data you already have, deploy edge-first, and activate modular AI components to deliver value in as little as 30 days.
• What Agentic IoT really looks like – An emerging architecture where AI agents reason over machine data, orchestrate workflows across OT and IT, and trigger actions automatically.  
• Why ClearBlade is uniquely positioned for this shift – How ClearBlade’s edge-first platform, Intelligent Assets, and AI Components (Anomaly Detection, Intelligent Video Analytics, Forecasting AI) create the foundation every autonomous system needs.  

Download the whitepaper below to see how to move beyond dashboards and pilots—and start building safer, more efficient, more autonomous operations today.