This has been true of machine learning APIs from the early renaissance of neural networks. Computer vision APIs have been used for years to grow datasets and fi

This has been true of machine learning APIs from the early renaissance of neural networks. Computer vision APIs have been used for years to grow datasets and fine-tune models on the data. As a matter of fact, the API/SaaS business for machine learning 'direct' model results have suffered from this since the early days. Now, what may make more sense and survive longer are full data-storage-oriented platforms, and niche products that encapsulate all underlying model calls, including to publicly available models. Sometimes glue code or even devops becomes the true solid business case of AI/ML apps ;)