AI projects fail in the production phase not due to technology, but due to unprepared data conditions, unclear processes, and underestimating the effort required to transition from pilot to production environments.
The use of AI for mass production of content causes AI systems to increasingly learn from other AI-generated content, allowing errors and biases to accumulate rather than be corrected.
