A practical comparison of two strategies for connecting AI agents to industrial data sources — the standardized Model Context Protocol (MCP) and custom frameworks like AWS Bedrock Agents — with real Belden implementation experience.
Why Lakehouse architecture — combining cost-efficient object storage, schema evolution, and open standards — is the critical data foundation that enables AI agents to deliver explainable, trusted recommendations in OT environments.
How AI agents function as 24/7 digital employees in industrial environments, requiring clear objectives, quality data, and proper guidance — illustrated with a real VLAN troubleshooting example using AWS Bedrock.