The Data Behind the Decision: Modernizing Property Underwriting

Property underwriting depends on one critical factor: trusted location data. Yet many insurers still struggle with inaccurate addresses, incomplete geocoding, and fragmented data sources that introduce hidden risk into underwriting decisions.

Join experts from Snowflake and Precisely to explore how insurers are combining cloud data platforms, location intelligence, and AI-ready data to improve underwriting accuracy, accelerate decision-making, and strengthen portfolio performance.

In this session, you’ll learn:

• How insurers operationalize trusted location intelligence directly inside their cloud data environment, including platforms like Snowflake, eliminating data silos and reducing manual enrichment effort.
• Why precise address validation, geocoding, and data enrichment are foundational underwriting variables, and how inaccuracies can quietly distort risk models and pricing decisions.
• Where AI is delivering measurable value across risk assessment and underwriting workflows, and why its effectiveness depends on high-quality, trusted location data.
• How leading insurers are integrating location intelligence into existing underwriting processes without disrupting current systems or operating models.

You’ll leave with practical insights into how modern insurers are turning better location data into better underwriting decisions, and how a trusted location data foundation scales across the cloud platforms they already run on.