The AI race isn’t just about bigger models or better algorithms — it’s about speed. The teams that win are the ones that move ideas to production the fastest. Yet for all the promise of AI accelerating software development, most engineering teams today spend an alarming amount of time not building AI features, but maintaining the data infrastructure underneath them. They’re patching together multiple databases, resolving inconsistencies or chasing down issues from outdated infrastructure.
In today’s AI-driven world, the best…
