Question

A retail company wants to build a gen AI assistant that answers employee questions using data from its HR system, finance platform, and internal wiki. During discovery, the project lead finds that the three systems use inconsistent formats, contain many duplicate and outdated records, and are managed by separate teams with no shared access policy. Leadership is eager to launch quickly. What should the project lead prioritize FIRST to set the initiative up for success?

Accepted Answer

Establish a data governance framework that addresses data quality, consistent access policies, and ownership across the three systems before large-scale development

Answer

Immediately fine-tune a foundation model on the combined raw data to meet the leadership timeline

Answer

Select the largest available model so its capacity can compensate for the inconsistent and duplicate data

Answer

Launch the assistant on the internal wiki only and ignore the HR and finance systems permanently