Enterprise AI isn’t limited by models. Companies can run test pilot programs, execute common tasks, and implement proof-of-concept models much faster than before, but they often fail to move beyond isolated “AI” wins. But the problem isn’t the model; it’s the environment they work in. Many scaling challenges remain, including disparate data and unclear ownership, largely because these systems were designed before AI became a core business option. A recent study by Wipro and HFS Research…
This article has been indexed from Unite.AI
Read the original article: