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.
Mosaic built a custom pricing system powered by artificial intelligence that recommends prices for 150M SKUs.
Manufacturing companies have a large opportunity to apply data science techniques like AI & ML to optimize their business processes.
Developing a custom, forward-looking customer lifetime value metric is a great way businesses can improve customer relations.
NLP is a great AI technique businesses can utilize to take advantage of text data.
Mosaic built and delivered a custom data science training program for a leading oil & gas firm.
Data scientists are a scarce commodity, and are likely to remain so for years to come. At the same time, data science can create a substantial competitive advantage for early adopters who make the best use of their scarce data-science resources.
In this post we explain why the assumption about industry experience is outdated—why often industry experience detracts from the best possible application of data science.
This white paper examines a machine learning approach to predicting employee churn and optimizing for retention.
Our blog post examines the role of an executive in a data-driven organization.
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.