Definition
AI Supply Chain refers to the end-to-end process of developing, deploying, and managing artificial intelligence models and systems. It encompasses all stages, from data acquisition and preparation to model training, validation, deployment, monitoring, and ongoing maintenance. This systematic approach ensures that AI solutions are built and operated reliably, ethically, and efficiently, integrating seamlessly into business operations. For instance, an AI Supply Chain might manage the continuous retraining of a fraud detection model as new transaction patterns emerge. It is distinct from simply building a single AI model, focusing instead on the entire lifecycle and infrastructure required for robust AI deployment. Understanding AI Supply Chain principles is increasingly important for roles involving AI governance and operations, appearing in advanced AI and cloud certifications.