AI & ML

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Will AI fix prior authorization—or make it worse?

If you’re like me, you or a loved one has struggled through the process of gaining pre-approval for the medical care that your physician has recommended. Personal stories abound regarding the tribulations of patients as they go through hoops to get their health insurer to pay for certain prescription medications, medical procedures, and more. When

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When RAG Fails, Treat Retrieval Like a Production System

Retrieval-augmented generation became popular because it solved a real problem. Large language models do not automatically know your internal policies, diagrams, runbooks, tickets, contracts, architecture decisions, or platform standards. RAG gives the model a way to answer with enterprise context instead of relying only on training data. That is the promise. The production reality is

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MCP Turns Agent Tools Into an Enterprise Boundary

Most enterprise AI teams eventually run into the same problem. The model can reason, summarize, draft, and plan, but the business value appears when it can interact with real systems. That is also where the risk starts. An agent that can only answer questions is one class of system. An agent that can query a

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