Why bad data pipelines undermine good AI projects

Artificial Intelligence has moved from experimentation to the boardroom agenda. Across industries, organizations are allocating significant budgets for AI initiatives, deploying Large Language Models (LLMs), and exploring new use cases ranging from customer service to risk management. Yet despite the enthusiasm and investment, many AI pilots fail to progress beyond the proof-of-concept stage.