The problem with AI today is not that we don’t know how to implement it. The problem is that, for the most part, we don’t have the domain-specific data to train it on (legally). This is where companies like Google and Facebook have an advantage. At least for consumer data.
The technology is not the advantage. The data is. The tech is available to anyone who knows high school level Python and can rent cloud servers, but only the big guys have the data.
So you have to get creative and use approaches that are not mutually exclusive:
– Building models to create high quality synthetic data
– Build applications to get people or companies to give you their data
– Build applications to turn industry knowledge into AI training data
There are huge opportunities for those who can automate these approaches by aligning the incentives of consumers, companies and trainers using unconventional strategies such as gamification or marketplaces. These ventures will create a new ecosystem of jobs around the idea of ‘AI trainers’.
