“Our AI prototypes are brilliant, but getting them to production takes six months — if we’re lucky.” Sound familiar?
Teams today ship prototypes in days, if not hours, but it can take months to reach production to get a return on the investment. This is while watching competitors launch AI-powered features daily or weekly while your teams remain paralyzed by the unknown risk and antiquated processes meant for static-deployment applications.
When it’s not an AI model problem, a talent problem or even a budget problem, then what is…
