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RFI

As explained in Delivering Machine Learning Projects: From design to deployment

An RFI is a request issued to gather information about potential solutions, capabilities, or approaches before a formal procurement decision.

An RFI (request for information) is an early opportunity to clarify a prospective customer’s needs before proposing a solution. An initial RFI may describe a technology change without specifying the application the customer needs. section 3.5

Clarifying the need

The Bike Shop wanted to replace costly existing systems with a cloud-based solution, but its initial RFI omitted application requirements. In an RFI meeting, the team asked what the business needed to achieve. The answer—reduce spending and retain customers—led to a possible use of customer data to identify churn risk and suggest interventions. Treat that idea as a candidate response to the need, not as a requirement already established by the RFI. section 3.5

How Delivering Machine Learning Projects: From design to deployment covers it

How deep it goes
Illustrates questioning an incomplete RFI through a meeting, without providing a formal RFI procedure.
Examples
Uses an RFI missing application details and a meeting that surfaces customer retention as the priority.
What you can do after
Practice/perform clarification questions before suggesting an application for a prospective customer.
How it connects
Connects requirements clarification with cloud migration, customer retention, and churn prediction.

This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.