Moonshots6w ago

Just Go Live

C

Conviction

Plausible AI Schemes

Elevator Pitch

Incumbent advantage is assumed, but datasets often don't exist in useful forms. Build the first useful product, deploy, and iterate with real customer feedback loops rather than waiting for perfect data.

Full Description

The Insight

Many AI applications assume incumbents have insurmountable data advantages. But in practice:

  • Incumbent data is often in unusable formats
  • Data is siloed across departments and systems
  • Historical data may not reflect current needs
  • Data collection processes weren't designed for AI

The Strategy

Instead of trying to acquire massive datasets before launching:

  1. Build the first useful product with limited data
  2. Deploy to real customers immediately
  3. Use customer feedback to improve the product
  4. Collect new data designed specifically for your AI use case

The Advantage

The company that deploys first starts the feedback loop first. Each customer interaction provides:

  • New training data
  • Signal on what features matter
  • Understanding of edge cases
  • Validation of the business model

Examples

This approach works particularly well when:

  • Existing data is locked in legacy systems
  • Data formats need to change for AI use
  • User behavior will shift with new AI capabilities
  • First-mover advantage compounds with data

Community

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