Addressing OT-IT Fragmentation in Industrial IoT
Agentic AI systems run across edge and cloud, requiring hardware-software co-design to balance latency, cost, and compute for efficient execution.
Most AI systems today are still built with a familiar mindset.
Train a model, deploy it on the infrastructure and optimize performance over time. This approach works well when workloads are predictable and execution paths are clear.
But that’s no longer enough. Agentic AI systems change that equation because they operate differently.