The article contains lists with bullet items and then suggests that if these were "easy", ML would be more accessible. Well true, but much of the "difficulty" i

The article contains lists with bullet items and then suggests that if these were "easy", ML would be more accessible. Well true, but much of the "difficulty" is in establishing faith that the models are meaningful and valuable. The article is talking about applications where the value is less-or-equal to the work of learning and applying some library (it mentions days or weeks). What is the actual value of applying ML in these cases?