Mosaic Data Science has a long history of using the latest and greatest in AI and ML to help customers determine how to drive impactful outcomes based on their data and processes.
Computer vision is a powerful AI technique with vast business applications. In this white paper, Mosaic examines how to use machine vision for detecting airport layouts from the sky.
This is post #2 of a 2-part series focused on reinforcement learning, an AI deployment approach that is growing in popularity.
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
Hospitals can change the way they deliver care by understanding their communities through the application of machine learning and statistics.
Mosaic built a model that predicted signal disruption, up to 16 hours in advance, based on North American precipitation forecasts and historical signal quality measurements.
In our white paper, Mosaic examines fresh machine learning based approaches to more accurately forecast airline seat demand.
Mosaic was engaged by a leading hotel chain to assess the best way to predict future demand for hotel rooms across their various properties.
We built a custom, machine learning model for a leading enterprise software company, helping them identify leading indicators of churn.
Our ML consultants helped a publicly traded, multi-national manufacturer more accurately identify and predict drivers of revenue.
Read how we revamped this leading O&G firm’s fuel crack spread forecasting techniques using ML.