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Case Studies

Cybersecurity

A Fortune 100 enterprise needed to deploy over 100 ML models to detect security breaches. Plus, the models had to be retrained and updated monthly.

Obstacles

  • 2 weeks needed to retrain and deploy a new model
  • 600 servers to run them
  • 5 data scientists required for deployment

Wallaroo Results

96
servers

to run over 100 ML security models

Seconds to redeploy updated models

Data scientists free to focus on innovating

84%
reduction

in computing costs

Case Studies

IoT

The US Military needed to analyze petabytes of daily IoT data in the cloud and across millions of edge devices, including drones and ships, to swiftly detect security anomalies.

Obstacles

  • Common analytics solutions too bulky for edge environments
  • Most data wasn’t being analyzed
  • Limited capacity for real-time data processing

Wallaroo Results

50
MB

runtime for low-resource edge environments

Minimal infrastructure in their cloud environment

Real-time streaming data analysis for instant insights

Case Studies

Real Estate

An international investment and real estate company wanted to deploy 36 pricing models with real-time customer segmentation to dynamically price thousands of units.

Obstacles

  • 9 months to build and deploy a prototype
  • 144 servers needed to run the pricing models
  • Several technologies to ingest, compute, and run models

Wallaroo Results

3
months

to build and deploy ML prototypes

18
servers

to run 36 pricing models

1
platform

to take care of everything

87%
reduction

in computing costs

Case Studies

Manufacturing

A multinational consumer products company wanted to combine real-time demand data with supply and manufacturing data to continuously optimize their supply chain.

Obstacles

  • 12 months to build and deploy a prototype
  • No capacity for real-time processing
  • Data engineers needed for IoT streaming

Wallaroo Results

3
months

to build and deploy ML prototypes

Unmatched real-time data processing

Existing team easily managed the platform

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