Case Studies
Deep Ranking for Image Similarity
We designed and deployed a custom deep learning based tool to extract images from millions of digital and scanned documents.
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 designed and deployed a custom deep learning based tool to extract images from millions of digital and scanned documents.
In our white paper, Mosaic examines fresh machine learning based approaches to more accurately forecast airline seat demand.
Mosaic helps a leading 3PL company apply machine learning to predict brokerage profit drivers.
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
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 designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.
For one of the US’s largest healthcare systems, Mosaic designed and deployed a custom machine learning tool to identify anomalous purchase orders.
We designed and deployed a custom NLP engine to facilitate better population health decisions for the CDC.
We built a custom AI-driven tool for one of the largest Oil & Gas firms in the world to identify fuel usage anomalies across their entire fleet.
Read how we revamped this leading O&G firm’s fuel crack spread forecasting techniques using ML.