Predictive Spatial Analytics : Turn Location Data into Actions

For the last decade, many organizations have treated geospatial data as a visualization tool, simply putting dots on a map. But in the last six years, the landscape has shifted violently. If you are still relying on desktop-bound GIS and legacy formats, you aren’t just behind the curve; you are leaving critical ROI on the table.

Join experts from CARTO and Snowflake for a candid session on the "Art of the Possible" in modern spatial analytics. We will dismantle the traditional approach to GIS and introduce a 5-Level Geospatial Maturity Model designed to audit your current capabilities.

In this session, we will cover:

• The Evolution Trap: Why traditional GIS workflows fail in the era of Cloud Native & AI.

• The Maturity Curve: A self-assessment framework to move from Level 1 (Ad-hoc Mapping) to Level 5 (Agentic GIS).

• Modernizing the Stack: How to leverage Spatial Indexes and Cloud Data Warehousing to query millions of points in seconds, not hours.

• Real-World Evolution: A look at how leading organizations migrated from legacy systems to a modern spatial stack.

What you’ll learn

• Our journey here: A retrospective on the last 6 years of geospatial innovation and where it is going next.

• The Maturity Model: How to transition from reactive mapping to proactive, AI-driven spatial modeling.

• Speed & Scale: Utilizing cloud-native architecture to handle massive datasets without performance bottlenecks.

• Actionable Steps: How to launch your own "Geospatial Audit" to benchmark your success against industry standards.

You’ll leave with practical ideas you can apply in your own environments.

Who should attend?

• Business & Operations Leaders looking to optimize logistics, risk management, and asset utilization.

• Data Engineers & Technical Leaders seeking to reduce infrastructure complexity and tool sprawl.

• Analysts & Data Scientists who want to enrich models and dashboards with spatial context using SQL and Python.