Unifying fragmented data with a trusted foundation
As AXA Japan joined its life and P&C businesses under a broader OneAXA transformation, it faced a familiar enterprise challenge: too many disconnected systems. Each business had built its own data lake, legacy applications, and operational processes over time.
The goal was not simply to modernize infrastructure. AXA wanted to create a single improve data quality, and support a growing range of AI use cases. “We wanted to make sure that we put all the data in one place where we could access it very efficiently and where we could ensure that we have good data quality,” said Hebrant
Before selecting a platform, the team evaluated several options. Ease of access, governance, and cost were important, but so was future readiness. AXA specifically wanted a platform that could support MLOps from the start, enabling production-grade AI systems that could be monitored, maintained, and improved over time.
“We decided to go with Databricks,” Hebrant said. “This is a choice that we have definitely not regretted so far.”
