Being a leader in (1) does not mean you'll be good at (2), and vice versa.
There's also a difference between limited data and good enough data.
If you train on good enough data, you can have good enough models.
If people believe the focus of AI/ML should just be precision/recall, or other measures of accuracy, and having tons of data, they're missing many other areas and elements for what make AI/ML successful in application.
Being a leader in (1) does not mean you'll be good at (2), and vice versa.
There's also a difference between limited data and good enough data.
If you train on good enough data, you can have good enough models.
If people believe the focus of AI/ML should just be precision/recall, or other measures of accuracy, and having tons of data, they're missing many other areas and elements for what make AI/ML successful in application.