AI case study

Ame DigitalFraud detection

700 isolated silos forced manual fraud reviews. ML models now unify 400TB of data to block threats automatically.

Published|1 year ago

Key results

Operational Cost Reduction
34%
Workflow Execution Time
50 mins
vs 5 hours 30 minutes
Fraud Detection Accuracy
90%

Result highlights

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The story

Context

A digital wallet serving over 33 million customers in Brazil, operating within the world's second-largest market for financial fraud.

Challenge

Sales volumes quadrupled during peak seasons, but an on-premises Hadoop environment trapped data across 700 isolated silos. This fragmentation...

Solution
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Quotes

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The company

Ame Digital logo

Ame Digital

amedigital.com

Digital wallet and financial services platform for payments and cashback.

IndustryFinancial Services
LocationSão Paulo, SP, Brazil
Employees1K-5K
Founded2018

The AI provider

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

The implementation partner

Migrated and managed growth of AME's data foundation from 1TB to over 400TB.

IndustryTechnology
LocationSão Paulo, SP, Brazil
Employees51-250
Founded2017

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