AI case study

QuagoGaming fraud detection

Ingesting 200 points per swipe overwhelmed a small team. Automated logic now retrains models 3x weekly to block fraud in sub-seconds.

Published|1 year ago

Key results

Projected Fraud Savings
$10M+
Server Cost Reduction
up to 25%

Result highlights

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The story

Context

A gaming behavioral analytics platform processes 5 to 10 terabytes of daily data per title, ingesting over 200 data points for every screen swipe to identify cheaters.

Challenge

A legacy vanilla Parquet data lake was too resource-intensive for a small team to manage, struggling to deliver the sub-second response times needed...

Solution
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Quotes

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The company

In-game sensor data analytics for cheat detection and player churn prediction.

IndustryEntertainment
LocationTel Aviv, Israel
Employees11-50
Founded2021

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

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