Synthetic Sensors and Surrogate Data: How Agentic AI Fills Gaps and Fights Fraudulent IoT Streams
What happens when your sensors lie, or simply go silent?
In our hyper-connected world, IoT systems power our most critical infrastructure. Smart factories run around the clock. Energy grids balance supply and demand in real time. Logistics networks track millions of shipments across continents. All of this depends on one thing: continuous, trustworthy data streams flowing from thousands of sensors.
The traditional answer has been redundancy and maintenance. Add more sensors. Check them more often. But there's another way, one that doesn't just patch the problem but reimagines how we think about sensing itself. Agentic AI offers a path beyond physical sensors, using intelligence and inference to synthesize and validate the data we need.
Super-Agents at the Edge: When AI Moves Beyond the Cloud
Artificial intelligence isn't just getting smarter, it's getting closer. While we've grown accustomed to AI systems that live in distant data centers, a quiet revolution is happening at the periphery of our networks. Agentic AI, once tethered to powerful cloud platforms, is now breaking free and embedding itself directly into the devices around us. These aren't your typical edge AI systems that simply recognize patterns or predict maintenance schedules. We're talking about super-agents at the edge; autonomous, decision-making AI agents that can reason, collaborate, and act independently right where the action happens.