AI in Real Systems

AI in Real Systems is a series focused on how AI actually behaves in production environments. It explores real-world problems such as poor data quality, weak system architecture, performance bottlenecks, and hidden costs. Instead of hype, the series breaks down where AI works, where it fails, and how to use it responsibly in real systems.