Why fixing your data beats building an AI lab?

Most enterprises are racing to build AI labs while the real problem sits in their data layer. Santiago Guillotti, Chief Data and Analytics Officer at Chubb LATAM, leads a 130-person data organization and his conclusion is direct: no vendor can fix your data problems for you. AI platforms are replaceable. The data you generate is not.

Santiago outlines for Saket how GenBI is creating outsized efficiency gains in mature companies where 35 to 40% of FTEs are still tied to BI-related tasks, and where cloud migration is only the beginning of a much larger transformation.

Topics discussed:

• GenBI as an efficiency lever in mature enterprise organizations

• Cloud migration from on-prem legacy systems to Azure and Databricks

• Building data teams differently in startups vs. large regulated companies

• Hiring for cultural fit across Latin America, Asia, and the US

• Scaling from 10-person to 100-person data organizations

• AI's impact on data engineering roles and intern programs

• Why data, not AI platforms, is the real competitive advantage

• Three pillars of AI transformation in the insurance sector

• Automating end-to-end claims flows with conversational AI

• Getting POCs approved in slow-moving regulated industries