Blogs
Sample Size Matters
This post discusses how many data scientists fail to frame business problems as optimizations even after coming to the correct statistical outcome.
This post discusses how many data scientists fail to frame business problems as optimizations even after coming to the correct statistical outcome.
Our paper focuses on why enterprise data warehouse projects fail and what to do about it.
In this blog Mosaic discusses how businesses can take advantage of ‘small data’ before taking the plunge of collecting every data available to them.
This case study examines how Mosaic helped NASA and the FAA dynamically balance airspace capacity & demand.
This white paper explores how traditional models of the value of information (VoI) can be extended effectively to account for uncertainties presently inherent in gathering and analyzing big data.
We’ve developed an entire guide on how to stand up a successful data science group.
We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.
Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.