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Data source

As explained in The Art of AI Product Development

A data source is a repository, system, or stream from which information can be retrieved for analysis or processing.

A data source is a repository, system, or stream from which information is retrieved for analysis or processing. In product planning, useful sources reveal different parts of the decision: actual behavior, stated needs, market signals, and stakeholder feedback. section 9.1.1

Product-planning agents may draw on:

  • Sales calls and user interviews for expressed needs. section 9.1.1
  • Product usage data for actual usage behavior. section 9.1.1
  • Product reviews, competitive-intelligence databases, and the wider web for market research. section 9.1.1

Sources differ in semantics, structure, access, and queryability. Unstructured calls and emails may require retrieval-augmented generation, while structured usage data may require Text2SQL; local files, databases, and cloud repositories need different connectors. section 9.1.1

Figure 9.4 Extending the agent with multiple categories of tools
A diagram of a computer flowchart

AI-generated content may be incorrect.

Use the tool-category diagram to relate multiple data sources to the agent capabilities needed to collect and analyze them. section 9.1.1

How The Art of AI Product Development covers it

How deep it goes
Distinguishes source semantics, structure, storage, access, and query methods, but stops short of connector implementation.
Examples
Uses sales calls, interviews, usage data, reviews, competitive-intelligence tools, databases, and web research.
What it assumes
Assumes familiarity with product-planning workflows while distinguishing structured from unstructured information.
What you can do after
Apply retrieval-augmented generation or Text2SQL according to source structure and choose connectors for repository type.
How it connects
Connects retrieval-augmented generation, Text2SQL, data analysis, product roadmaps, and stakeholder communication.

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This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.