Artificial intelligence has moved well past its early pattern-recognition roots. Today's landscape spans machine learning models that improve from data, natural language processing systems that can read and generate human-like text, and computer vision systems that interpret images and video in real time.
For businesses evaluating where AI fits into their operations, the practical entry point is rarely a sweeping AI transformation — it's a focused application: classifying documents, extracting structured data from unstructured text, or flagging anomalies a human reviewer would otherwise have to find manually.
We track these developments closely because they directly shape what's possible in process automation. The line between "RPA" and "AI" is blurring fast, and the bots we build today are increasingly capable of handling the judgment calls that used to require a human.