identifying fraud with geospatial analytics and ai ui hex image

Analyze geospatial behaviors at scale to identify anomalous card transactions

Learn how geospatial data, machine learning and a lakehouse architecture enable organizations to better understand customer spending behaviors, and detect abnormal credit card transaction patterns in real time. Geospatial analysis can enhance fraud prevention, mitigate losses and build customer trust.

  • Augment analytics with geospatial data at scale
  • Uncover “normal” behavior to identify the abnormal
  • Get real-time customer spending insights
Download Notebook

Case studies

identify fraud with geospatial analytics and ai case study

Entwicklerblog

identify fraud with geospatial analytics and ai engineering blog

Unternehmensblog

identify fraud with geospatial analytics and ai company blog image

Deliver innovation faster with Solution Accelerators for popular data and AI use cases across industries.
See our full library of solutions ➞

Möchten Sie loslegen?

try databricks for free