Case Studies
Demand Forecasting for Network Bandwidth
We built a custom demand forecasting model using ML techniques, helping a leading professional services firm predict office bandwidth requirements.
Mosaic provides efficient and effective algorithm and model deployment services. In collaboration with our customers, we prototype a number of different candidate machine learning models, and eventually select the top performers to be deployed enterprise-wide.
Deployment into your existing IT infrastructure requires a different skill set than algorithm design and selection. Our data scientists are well versed in a number of data platforms and are adept at integrating R and/or Python scripts into consumable reports, dashboards or visualizations.
We built a custom demand forecasting model using ML techniques, helping a leading professional services firm predict office bandwidth requirements.
Mosaic built a custom pricing system powered by artificial intelligence that recommends prices for 150M SKUs.
This case study examines how Mosaic helped NASA and the FAA dynamically balance airspace capacity & demand.
We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.