When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, and those decisions can come back to haunt you if they lead you to make flippant decisions about data infrastructure. For smaller, less-regulated startups building SaaS or internal applications, the consequences may not be as dire. Wherever you start building, you can usually keep running there even when applications move into production. But for large-scale enterprises operating in highly regulated environments — think healthcare, finance, government — some developer-friendly...

Source: The New Stack