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
to run over 100 ML security models
Seconds to redeploy updated models
Data scientists free to focus on innovating
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
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
to build and deploy ML prototypes
to run 36 pricing models
to take care of everything
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
to build and deploy ML prototypes
Unmatched real-time data processing
Existing team easily managed the platform