1 some AI has percolated into AWS; Azure and other cloud services
2 some AI is done quietly under the hood in great many tech companies
3 in some companies AI has enabled uniue features, but the company does not go around selling “my AI will change your business” but rather “I alone have a cool feature you can’t do without
4 AI is applied to non-tech real world problems where data are in silos away from google and china
of course there is a stack of cloud, algos, devices that allow to unbundle old world problems.
Ai is a tech that is defining its S-curve much like databases, ML is the new SQL “\over the past few decades we moved through databases, ‘productivity’, client-server, open-source, SaaS and Cloud. In parallel with new client platforms, we had new waves of architecture or development model, and that’s really a better way to look at machine learning – ML is the new SQL (and maybe crypto is in part the new open source)”