5 Architecture Decisions That Kill AI Projects Before They Launch

Many AI projects fail due to architectural decisions rather than model issues, with $547 billion in investments failing to deliver value. A critical mistake highlighted is starting model development before auditing label quality, exemplified by a fraud detection project that replicated a broken system.