
AI & intelligent systems
Machine learning and AI features built into real products, so intelligence changes the outcome instead of decorating the interface.
What it involves
- Matching, ranking, classification and recommendation features
- Intelligence that works on a product's own data, in context
- Interfaces that explain results in terms people can act on
- What it addresses
- Product data that is hard to search, compare or act on by hand.
- Who it is for
- Teams adding intelligence to a product they already run or are about to build.





