Model Drift and Perpetual AI Maintenance

These documents examine the practical integration, strategic benefits, and regulatory risks associated with artificial intelligence in various industries. Academic research highlights how large language models assist developers with complex coding and administrative tasks, while corporate guides emphasize the importance of differentiating between AI and simple automation to ensure successful adoption. Simultaneously, official reports from the Federal Trade Commission detail a significant crackdown on companies using deceptive AI claims to defraud consumers or generate fake reviews. Effective implementation requires businesses to navigate data quality challenges and ethical concerns while remaining compliant with evolving consumer protection laws. Collectively, the sources suggest that while AI offers immense productivity potential, its use must be balanced with transparent business practices and human oversight.