Reading Time: 4 minutesMost AI projects do not reach production. Per McKinsey – State of AI, the gap between AI projects that demonstrate promising results in pilot and AI systems that deliver measurable business value at scale remains substantial. The reasons trace back to engineering discipline, or its absence, in how AI projects get built. The teams that produce production-ready systems work differently from teams that produce impressive pilots that never quite make it to operational use. This piece walks through the engineering practices that distinguish production-ready AI development from prototype-stage work. It…
Read MoreThe Engineering Discipline Behind Production-Ready AI Systems
