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.
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.
Optimizing how airplanes take off is a perfect use case for fusing IoT and predictive analytics.
We examine how businesses can apply machine learning to propensity modeling, CLV, segmentation, attribution, and churn.
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.
Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.