Notas del episodio

Bill Gibson is an experienced technical leader who has led engineering and product teams across startups and large companies. He brings real-world perspective to AI implementation and product development.

Bill talks about:

  • Anchoring AI features in natural workflows: don’t bolt on chatbots; embed intelligence where users already expect it.
  • Enforcing trust through transparency: always label AI‑generated content and surface confidence scores and data provenance.
  • Focusing on achievable use cases: massive datasets alone won’t guarantee success; start with narrowly scoped, high impact AI applications.
  • Designing for model evolution: use abstraction layers (like Cursor or Windsurf) so you can swap underlying AI engines as they improve.
  • Outsourcing selectively: retain your strategic “special sauce” and core ... 
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Palabras clave
artificial intelligencehealthcarehealthtech