How Salesforce Is Scaling Enterprise AI: Insights from Franny Hsiao

Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before they ever reach production — a challenge that goes far beyond simply selecting the right model. While generative AI prototypes are relatively easy to spin up, transforming them into reliable, production-grade business assets involves solving some of the most difficult problems in data engineering and governance.

“Turning AI pilots into real business assets means solving the hard problems of data engineering and governance — not just picking the right model.”

Ahead of AI & Big Data Global 2026 in London, Franny Hsiao, EMEA Leader of AI Architects at Salesforce, discussed why so many enterprise AI initiatives hit a wall — and how organisations can architect systems that actually survive the pressures of the real world.

📅 Interview conducted ahead of AI & Big Data Global 2026, London.