AI-powered products and product-powered AI
summary
Argues product teams must treat AI like software with concrete outputs and constraints, showing real work: a Barcelona startup using models to predict customer churn, qualify leads and match stock to demand; a Hospital del Mar chest X‑ray classifier that is built in four weeks by fine‑tuning existing image models and deployed into patient software; an AP exam grader proof‑of‑concept and an admin persona UI to tune models without code; advocates data as a product with 80% effort on data and modular dashboards for safe iteration and measurement.
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chapters (17)
- 0:00Intro
- 0:30What brought me into this
- 2:06AI investment in 2021
- 3:58What is AI
- 6:52Working with data
- 8:11Challenges
- 10:13Different areas
- 10:27AIpowered products
- 11:34Shimoku
- 14:57Bringing AI into customers world
- 15:30Critical cases
- 17:07Integration
- 17:54Existing research
- 21:38Advanced placement exams
- 28:38Data as a product
- 33:38Conclusion
- 35:18QA
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