Franny Hsiao from Salesforce emphasizes that scaling artificial intelligence (AI) within enterprise environments requires overcoming architectural oversights that frequently stall pilot projects before they reach production. This challenge extends far beyond simple model selection.
While generative AI prototypes are relatively easy to develop, transforming them into reliable business assets necessitates addressing complex problems in data engineering and robust data governance. These critical aspects are anticipated to be key discussion points at the upcoming AI & Big Data Global 2026 event.