Rules, RPA, ML, LLMs, and Agents: The Decision Ladder
A practical decision ladder for choosing between rules, RPA, traditional machine learning, LLM workflows, and agent-like systems.
A practical decision ladder for choosing between rules, RPA, traditional machine learning, LLM workflows, and agent-like systems.
Why this paper matters (for operators, not just researchers) Industrial control stacks (think data center DCIM, grids, water, rail) are hostile terrain for “general” GUI agents: custom widgets, nested hierarchies, air‑gapped deployment, and actions that can actually break things. InfraMind proposes a pragmatic agentic recipe that acknowledges these constraints and designs for them. The result is a system that learns an interface before it tries to use it, then executes with auditability and guardrails. ...