The foundational elements of AI architecture that IT leaders need to scale

The article outlines four foundational elements of AI architecture critical for scaling AI systems, emphasizing data preparation at scale and context engineering as key components. Poor data quality is highlighted as a major barrier to AI success, with Gartner predicting 60% of AI projects will be abandoned by 2026 if not supported by AI-ready data.