AI needs less magic and more engineering

After years of AI hype promising revolutionary transformation, companies are discovering that successful AI deployment requires solid engineering fundamentals rather than flashy demonstrations. While organizations widely experiment with AI models, most struggle to scale them into core operations due to inadequate infrastructure, governance, and data quality, with studies showing ambitious pilots frequently stall in production.